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i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 10 Issue 2

Most Cited

Volume 1 Issue 1 February - April 2014

Article

WCDMA Based Signal Processing In UTRAN Radio Network System

R. Mohanapriya* , L.K.Hema, Dipeshwar Kumar Yadav*, Vivek Kumar Verma****

- Faculty, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India.

-**** UG Student, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India.

Mohanapriya, R., Hema, L. K., Yadav, D.K., and Verma, V.K. (2014). WCDMA Based Signal Processing In UTRAN Radio Network System. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 1-7. https://doi.org/10.26634/jmt.1.1.2910

Abstract

UTRAN is one of the important subsystems in 3G / WCDMA architecture which connects the 3G mobile user to the WCDMA acting as a backbone for getting connectivity and user applications and also gives exposure to UTRAN nodes , their connectivity structure and the signal processing carried out by each part of the UTRAN system. Now-a-days, 3G, as considered in the world dictionary, this revolution gives a big market business throughout the world, which makes everything fast in the telecommunication field. This paper proposes a UTRAN architecture using WCDMA technology.

References

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[2]. 3GPP. 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Quality of Service (QoS) concept and architecture, TS 23.107 Version 5.9.0, (2003-6), 2003

[3]. Varma VK, Ramesh S, Wong KD, and Friedhoffer JA,(2003). “Mobility Management in Integrated UMTS/WLAN Networks", Proc. of IEEE ICC03.

[4]. Jaseemuddin, (2003). "An Architecture for Integrating UMTS and 802.11 WLAN Networks", Proc. of IEEE ISCC, pp. 16-723, 2003. 27

[5]. Harri Holma and Anti Toskala, “WCDMA for UMTS radio access for third generation mobile communications", John wiley and sons ltd.

[6]. Heikki Kaaranen, Ari Athiainen , Lauri Laitinen , Siamak Naghian, Valtteri Niemi, "UMTS networks architecture, mobility and services", John wiley and sons ltd.

[7]. Savo G. Glisic (2003). "Adaptive WCDMA: Theory And Practice”. John Wiley & Sons, Ltd, University of Oulu, Finland. England.

[8]. Jeffrey, Mather and Coope (2004). "Convergence technologies For 3G networks IP, UMTS, EGPRS and ATM". England . John Wiley & Sons Ltd.

[9]. Roger Freeman (2005). Fundamentals of Telecommunications. Second Edition. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Canada.

[10]. Korhonen, Juha(2003). Introduction to 3G mobile Communication, 2nd(Artech House mobile communications series). 685 Canton Street Norwood.

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Research Paper

Performance Assessment Of Reactive Routing Protocols Using Random WayPoint Mobility Model In MANET

Harish Tureha* , Ashok Kumar, Hardwari Lal Mandoria*

* M.Tech student, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India

Assistant Professor, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India.

* Professor and Head, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India.

Tureha, H., Kumar, A., and Mandoria, H.L. (2014). Performance Assessment Of Reactive Routing Protocols Using Random Way Point Mobility Model In MANET. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 8-12. https://doi.org/10.26634/jmt.1.1.2911

Abstract

MANET (Mobile Ad-hoc Network) is an infrastructure-less mobile network where each node can act well as a router which forwards the packet that helps in the route discovery from source to destination. In this paper, The authors will discuss about DSR and AODV, both of which are the reactive routing protocols used in MANET. Also, we will see the simulation based comparison between these two protocols using two parameters, that are Throughput and End to- End Delay.

References

[1]. Sahil Gupta, Sunanda Arora, Gaurav Banga (2012).“Simulation Based Performance Comparison of AODV and DSR Routing Protocols in MANETS”. International Journal of Applied Engineering Research, ISSN 0973- 4562, Vol.7, No.11.

[2]. Dr. Umadevi Chezhian and Mr. Raja Adeel Ahmed (2013). “Average Delay and Throughput Analysis on Ad Hoc Network Protocols”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN:2277 128X, Vol.3, Issue 2.

[3]. Aarti and Dr.S.S. Tyagi (2013). “Study of MANET Characteristics, Challenges, Application and Security Attacks”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue 5.

[4]. D. Johnson, D.A Maltz and J. Broch (1998). “The Dynamic Source Routing Protocol For Mobile Ad-hoc Networks” Mobile Ad-hoc Network (MANET) working group IETF.

[5]. Anuj K. Gupta, Harsh Sadawarti and Anik K. Verma (2011). “Review of Various Routing Protocols for MANETs”, International Journal of Information and Electronics Engineering, Vol.1, No.03,

[6]. Pravin Ghosekar, Girish Katkar and Dr. Pradip Ghorpade (2010). “Mobile Ad-hoc Networking: Imperatives and Challenges”, IJCA special issue on “Mobile Ad-hoc Networks” MANETS.

[7]. Mohit Kumar and Rashmi Mishra (2012). “An Overview of MANET: History, Challenges and Applications”, Indian Journal of Computer Science and Engineering (IJCSE).

[8]. Charles E. Perkins , Elizabeth M. Royer, (1999). “Adhoc On-Demand Distance Vector Routing”, Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications, p.90, February 25-26.

[9]. http://www.isi.edu/nsnam/ns/doc

[10]. Petteri Kuosmanen (2012), “Classification of Ad-hoc Routing Protocols” Finnish Defence Forces, Naval Academy Finland.

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Research Paper

Wireless Machine-To-Machine Healthcare Solution Using Android Mobile Devices In Global Networks

J.Jenifer*

PG Scholar, Department of Electronics and Communication Engineering, V.V College of Engineering,Tisayanvilai, Tirunelveli.

Jenifer, J. (2014). Wireless Machine-To-Machine Healthcare Solution Using Android Mobile Devices In Global Networks. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 13-19. https://doi.org/10.26634/jmt.1.1.2912

Abstract

This paper presents the development of a personal Machine to Machine healthcare system that is both flexible and scalable. Based on the IPv6 protocol, the system can be used over a low power wireless personal area network. Since a hierarchical network structure offers excellent accessibility, the system is applicable to both local and International healthcare services. To further enhance scalability and reliability, the proposed system combines low power wireless personal area network with mobile techniques, depending on whether the sensor is located inside or outside the range of a wireless sensor network. Employing wearable low power sensors, the system measures health parameters dynamically. For wireless transmission, these sensors are connected to a machine to machine node either through the internet or through an external IPv4/IPv6 enabled network. The low power wireless personal area network protocols to wide area networks were verified in practical tests using a machine to machine gateway. To assess the physical health of an individual, the system uses heart rate variability analysis in time and frequency domain. Acquired data are first stored on a server for analysis. Result of the analysis is then automatically sent to Android based mobile devices carried by the individual or appointed healthcare providers. In this way, mobile techniques are used to support remote health monitoring services. This personal machine to machine healthcare system has the capacity to accurately process large amount of biomedical signals. Moreover, due to its ability to use mobile technology, the system allows the patient to conveniently monitor their own health status, regardless of location.

References

[1]. G. Z. Yang (2006). Body Sensor Networks, 1st ed. London: Springer-Verlag, pp. 1–275.

[2] P. S. Pandian, K. Mohanavelu, K. P. Safeer, T. M. Kotresh, D. T. Shakunthala, P. Gopal, and V. C. Padaki (2008). “Smart vest: Wearable multiparameter remote physiological monitoring system,” Med. Eng. Phys., Vol. 30, No. 4, pp. 466–477.

[3]. T. Yilmaz, R. Foster, and Y. Hao (2010). “Detecting vital signs with wearable wireless sensors,” Sensors, Vol. 10, No. 12, pp. 10837–10862.

[4]. B. Massot, N. Baltenneck, C. Gehin, A. Dittmar, and E. McAdams (2012). “EmoSense: An ambulatory device for the assessment of ANS activityapplication in the objective evaluation of stress with the blind,” IEEE Sensors J., Vol. 12, No. 3, pp. 543–551.

[5]. Y. T. Chen, I. C. Hung, M. W. Huang, C. J. Hou, and K. S. Cheng (2011). “Physiological signal analysis for patients with depression,” in Proc. 4th Int. Conf. Biomed. Eng. Informat., Shanghai, China, pp. 805–808.

[6]. T. Taleb, D. Bottazzi, and N. Nasser (2010). “A novel middleware solution to improve ubiquitous healthcare systems aided by affective information,” IEEE Trans. Inf. Technol. Biomed., Vol. 14, No. 2, pp. 335–349.

[7]. J. G. Ko, C. Y. Lu, M. B. Srivastava, J. A. Stankovic, A. Terzis, and M.Welsh (2010). “Wireless sensor networks for healthcare,” Proc. IEEE, Vol. 98, No. 11, pp. 1947–1960.

[8]. W. Y. Chung, C. Yau, K. S. Shin, and R. Myllylä (2007). “A cell phone based health monitoring system with selfanalysis processor using wireless sensor network technology,” in Proc. 29th Annu. Int. Conf. Eng. Med. Biol. Soc., Lyon, pp. 3705–3708.

[9]. G. Lawton (2004).“Machine-to-machine technology gears up for growth,” Computer, Vol. 37, No. 9, pp. 12–15.

[10]. C. Kim, A. Soong, M. Tseng, and X. Zhixian (2011). “Global wireless machineto-machine standardization,” IEEE Internet Comput., Vol. 15, No. 2, pp. 64–69.

[11]. S. Whitehead (2004). “Adopting wireless machine tomachine technology,” Comput. Control Eng., Vol. 15,No. 5, pp. 40–46.

[12]. C. Inhyok, Y. Shah, A. U. Schmidt, A. Leicher, and M. V. Meyerstein (2009). “Trust in M2M communication,” IEEE Veh. Technol. Mag., Vol. 4, No. 3, pp. 69–75,

[13]. Z. Shelby and C. Bormann (2009). 6LoWPAN: The Wireless Embedded Internet. New York: Wiley, pp. 1–244.

[14]. W. Shen, Y. Xu, D. Xie, T. Zhang, and A. Johansson (2011). “Smart border routers for e-healthcare wireless sensor networks,” in Proc. 7th Int.Conf. Wireless Commun., Netw. Mobile Comput., Wuhan, China, pp. 1–4.

[15]. A. J. Jara, M. A. Zamora, and A. F. G. Skarmeta (2010). “An architecture based on internet of things to support mobility and security in medical environments,” in Proc. 7th IEEE Consumer Commun. Netw. Conf., Las Vegas, NV, pp. 1–5.

[16]. S. H. Toh, S. C. Lee, and W. Y. Chung (2008). “WSN based personal mobile physiological monitoring and management system for chronic disease,” in Proc. 3rd Int. Conf. Convergence Hybrid Inf. Technol., Busan, Korea, pp. 467–472.

[17]. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T.Campbell, “A survey of mobile phone sensing,” IEEE Commun. Mag., Vol. 48, No. 9, pp. 140–150, Sep. 2010.

[18]. W. Y. Chung, Y. D. Lee, and S. J. Jung (2008). “A wireless sensor network compatible wearable uhealthcare monitoring system using integrated ECG, accelerometer and SpO2,” in Proc. 30th Annu. Int. Conf. Eng. Med. Biol. Soc., Vancouver, BC, Canada, pp. 1529–1532.

[19]. S. J. Jung and W. Y. Chung (2011). “Flexible and scalable patient's health monitoring system in 6LoWPAN,” Sensor Lett., Vol. 9, No. 2,pp. 778–785,

[20]. Internet Engineering Task Force (IETF). (2009) Retrieved from : http://www.ietf.org/

[21]. Samsung Galaxy S. (2010) Retrieved from : http ://www.samsung.com/global/microsite/galaxys/index_2. html.

[22]. M. Malik (1996). “Heart rate variability: Standards of measurement, physiological interpretation, and clinical use,” Circulation, Vol. 93, No. 5,pp. 1043–1065,

[23]. J. Valencia, M. Vallverdu, R. Schroeder, A. Voss, R. Vazquez, A. Bayes de Luna, and P. Caminal (2009). “Complexity of the short-term heart-rate variability,” IEEE Eng. Med. Biol. Mag., Vol. 28, No. 6, pp. 72–78.

[24]. C. W. Lin, J. S. Wang, and P. C. Chung (2010). “Mining physiological conditions from heart rate variability analysis,” IEEE Comput. Intell. Mag., Vol. 5, No. 1, pp. 50–58.

[25]. U. Dulleck, A. Ristl, M. Schaffner, and B. Torgler (2011). “Heart rate variability, the autonomic nervous system, and neuroeconomic experiments,” J. Neurosci. Psychol. Econ., Vol. 4, No. 2, pp. 117–124.

[26]. M. A. Garcia-Gonzalez, M. Fernandez-Chimeno, and J. Ramos-Castro (2007). “Estimation of the uncertainty in time domain Indices of RR time series,” IEEE Trans. Biomed. Eng., Vol. 54, No. 3, pp. 556–563,

[27]. R. Bailón, L. Sörnmo, and P. Laguna (2006). “A robust method for ECGbased estimation of the respiratory frequency during stress testing,” IEEE Trans. Biomed. Eng.,Vol. 53, No. 7, pp. 1273–1285,

[28]. E. Tobaldini, N. Montano, S. G. Wei, Z. H. Zhang, J. Francis, R. Weiss, K. Casali, R. Felder, and A. Porta (2009). “Autonomic cardiovascular modulation,” IEEE Eng. Med. Biol. Mag., Vol. 28, No. 6, pp. 79–85,

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Research Paper

Autonomous GSM Mobile-Based Robot Navigation

N.Gandhimathi* , J.S.Steffi Tamil Mathi**

*-** UG Scholar, Department of Electronics and Communication Engineering, Dr. Sivanthi Aditanar College of Engineering, Tamilnadu, India.

Gandhimathi, N., and Steffi, J.S., Mathi, T.(2014). Autonomous GSM-Mobile Based Robot Navigation. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 20-23. https://doi.org/10.26634/jmt.1.1.2913

Abstract

This paper proposes a GSM -Mobile based Robot controller system with a PC interface. The robot can be controlled by a GSM mobile [9] in order to do customized tasks from a remote location, and which would be monitored by another remote interface like a PC interface. Robot Navigation [11] guides a mobile robot to move to a desired goal, along the planned path in an environment characterized by a terrain and a set of distinct objects (such as obstacles, milestones, waypoints and landmarks). Motion planning [2] is often designed to optimize specific performance criteria and to satisfy constraints on the robot's motion. The distinguishing feature of this paper is that, true mobility can be leveraged through the Mobile Communication Network. The robot also detects the obstacles while moving through the obstacle sensor [6].

References

[1]. Winter (2007). International Journal of Intelligent Systems and Technologies, Vol.2, No.1. Retrieved from www.waset.org.

[2]. Amritanshu Srivastava and Hrishikesh Narayan Tripathi, (2014). “GSM Calling based Multi-tasking Robot vehicle with Password protection”. IJARCSSE, Vol.4, No.1, pp. 812-819.

[3]. Kiranmai K. and Kishore Kumar M. (2013). “Design and implementation of supervising Robot by using SMS”. IJAREEIE, Vol. 2, No. 11, pp. 5718-5724.

[4]. Lian, S.H., (1996). “Fuzzy Logic Control of an Obstacle Avoidance Robot”, IEEE International Conference on Fuzzy Systems, Vol.1, pp.26-30.

[5]. Yen-Sheng Chen, (2009). “Intelligent Obstacle Avoidance Control Strategy for Wheeled Mobile Robot”. ICROS-SICE International Joint Conference.

[6]. Balasubramanian K., (2009). “Object recognition and obstacle avoidance robot”. IEEE Conference on Chinese Control and Decision Conference (CCDC).

[7]. Dong-ying Ju, (2007). “Development of Remote Control and Monitor System for Autonomous Mobile Robot Based on Virtual Cell Phone”. IEEE Conference on Innovating Computing, Information and Control.

[8]. Manish Kumar, (2013). “Design of Cell Phone Operated Robot Using DTMF for Object Research”. IEEE Conference on Wireless and Optical Communications Networks (WOCN).

[9]. Mohammed M. Ali, (2013). “GPRS-Based Remote Sensing And Tele-operation Of A Mobile Robot”, IEEE Conference on Signals, systems and devices.

[10]. T. Balch and R.C. Arkin, (1995). “Communication in reactive multiagent robotic systems”. Autonomous Robots, Vol.1, No.1, pp.27-52.

[11]. Ronald C. Arkin and Tucker Balch, (1998). “Cooperative Multiagent Robotic Systems”. In: Artificial intelligence and mobile robot, MIT Press Cambridge, pp. 277-296.

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Research Paper

Node Disposition State Verification For Secure Routing In Mobile Ad Hoc Networks

K Sreenivasulu* , E. V. Prasad, A. Subramanayam*

* Professor & H.O.D, Department of Computer Science and Engineering, Madina Engineering College, Kadapa, A.P, India.

Professor & Director, LBRCE, Mylavaram, Krishna (Dist.) A.P, India.

* Professor & Dean Department of Computer Science and Engineering, AITS, Rajampeta, A.P, India.

Sreenivasulu, K., Prasad, E. V., and Subramanayam, A. (2014). Node Disposition State Verification For Secure Routing In Mobile Ad Hoc Networks. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 24-30. https://doi.org/10.26634/jmt.1.1.2914

Abstract

A Mobile Ad hoc Network is a collection of wireless mobile nodes that are capable of communicating with each other or without the use of any centralized infrastructure. This paper is concerned with a strategic secure routing in a completely Disseminated Disposition State in ad hoc networks. The authors have taken an initiative in enhancing the existing Disposition State Authentication plans to apply in MANETs, such as adaptive termination timer and selective deviation tests, so as to administer blockage and quick convergence. The protocol Node Disposition State Verification (NDSV) has been developed based on the AODV (Ad hoc On Demand Distance Vector) protocol by incorporating two performance measures, Eigen Vector and Degree Centrality to evaluate the individual trust claims and to identify the right nodes for communication, respectively. This protocol is implemented and tested using Network Simulator-2 (NS-2) in the presence of blackhole attacks to prove its robustness and to demonstrate the achievement for better throughput and response time with regard to negligible jitter effort.

References

[1]. S. Buchegger, (2008). "Reputation Networks for Self Organized Networks: Lessons Learned". In IEEE Technology and Society Magazine, Toward Fourth Generation Wireless, pp. 1-10.

[2]. K.Sreenivasulu, E.V.Prasad and A.Subramanyam, (2012).“Performance Analysis of MANET Reactive Routing under Security”. International Journal of Computer Applications, Vol. 60, No.7.

[3]. P.Michiardi and R. Molva, (2002). "CORE:A Collaborative Reputation Mechanism to enforce node cooperation in Mobile Adhoc Networks", Proc. IFIP CMS.

[4]. Sonja Buchegger and Jean-Yves Le Boudec, (2002). “Performance Analysis of the CONFIDANT Protocol: Cooperation of Nodes Fairness In Dynamic Ad-hoc Networks”. In Proc. of IEEE/ACM MobiHOC.

[5]. H. Yang, et. al, (2006). "SCAN: Self-OrganizedNetwork- Layer Security in Mobile Ad Hoc Networks". IEEE Network, Vol. 24, pp. 1-13.

[6]. M.T. Schlosser, (2003). "The Eigen Trust Algorithm for Reputation Management in P2P Networks". ReCALL.

[7]. S. Ramaswamy et. al,(2003). "Prevention of Cooperative Black Hole Attack in Wireless Ad Hoc Networks". ICWN'03, USA.

[8]. J. Ruiz, et. al, (2008). "Black Hole Attack Injection in Ad hoc Networks". International Conference on Dependable Networks and Networks, Anchorage, Alaska, pp. G34- G35.

[9]. A. Dadhich, (2008). "A Distributed Cooperative Approach to Improve Detection and Removal of Misbehaving MANET Nodes". COMSWARE, pp. 728-735.

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Research Paper

A Survey On Multi User Communication Through Presence Cloud In MobileScalable Server Architecture

M.Giri* , M.Harsha Vardhan**

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

Giri. M., and Vardhan, M. H. (2014). A Survey On Multi User Communication Through Presence Cloud In Mobile Scalable Server Architecture. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 31-36. https://doi.org/10.26634/jmt.1.1.2915

Abstract

In this world, Mobile devices are growing in a high accuracy level. The embedded mobile service is a vital element in social media which handles every mobile user’s information, such as online status of GPS location and network location and updating user contacts. When plenty of updates occur continuously, large number of messages are spread in the presence cloud which turns on embedded mobile service to support high scale social media applications if mobile user enters into media, presence cloud finds for availability of their friends and alerts them of their arrivals, presence cloud gathering presence server into quorum related server to server model for reliable presence searching. The server cloud which is applied directed through the search algorithm and through the one hop caching strategy method is minimal to search latency. The natured presence cloud analyses the search cost and user satisfaction level, through which the cost and the number of messages created in presence server through the user is reduced to a minimal level.

References

[1]. Chi-Jen Wu, Jan-Ming Ho, Ming-Syan Chen, (2013). "A Scalable Server Architecture for Mobile Presence Services in Social Network Applications", IEEE Transactions on Mobile Computing, Vol.12, No. 2, pp. 386-398, Feb. 2013, doi:10.1109/TMC.2011.263.

[2]. Chi-Jen Wu¤y, Jan-Ming Hoy and Ming-Syan Chen, (2008). “A Scalable Peer-to-Peer Presence Directory”, Technical Report No .TR-IIS-08-012, http://www.iis. sinica. edu. tw/page/library/LIB/TechReport/tr2008/tr08.html

[3]. Jean-Francois (2006), “P2PSIP: towards a decentralized, SIPbased VoIP system” Wauthy Memoire presente en vue de l’obtention du grade de Maître en Informatique Année académique 2006-2007

[4]. M. Maekawa (1985). ”A v n algorithm for mutual exclusion in decentralized systems,” ACM Transactions on Computer Systems, Vol.3, No.2, May 1985, pp.145-159.

[5]. http://www.bluair.pl/bluetooth-range

[6]. http://www.webopedia.com/TERM/W/Wi_Fi.html

[7]. “P2P-SIP-tutorial-liotta-oredope” http://ebookbrowsee .net/p2p-sip-tutorial-liottaoredopepdf-d19293994

i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 10 Issue 2

Most Read

Most Cited

Volume 1 Issue 1 February - April 2014

WCDMA Based Signal Processing In UTRAN Radio Network System

R. Mohanapriya* , L.K.Hema**, Dipeshwar Kumar Yadav***, Vivek Kumar Verma****

*-** Faculty, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India. ***-**** UG Student, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India.

Mohanapriya, R., Hema, L. K., Yadav, D.K., and Verma, V.K. (2014). WCDMA Based Signal Processing In UTRAN Radio Network System. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 1-7. https://doi.org/10.26634/jmt.1.1.2910

Abstract

References

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Performance Assessment Of Reactive Routing Protocols Using Random WayPoint Mobility Model In MANET

Harish Tureha* , Ashok Kumar**, Hardwari Lal Mandoria***

* M.Tech student, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India ** Assistant Professor, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India. *** Professor and Head, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India.

Tureha, H., Kumar, A., and Mandoria, H.L. (2014). Performance Assessment Of Reactive Routing Protocols Using Random Way Point Mobility Model In MANET. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 8-12. https://doi.org/10.26634/jmt.1.1.2911

Abstract

References

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Wireless Machine-To-Machine Healthcare Solution Using Android Mobile Devices In Global Networks

J.Jenifer*

PG Scholar, Department of Electronics and Communication Engineering, V.V College of Engineering,Tisayanvilai, Tirunelveli.

Jenifer, J. (2014). Wireless Machine-To-Machine Healthcare Solution Using Android Mobile Devices In Global Networks. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 13-19. https://doi.org/10.26634/jmt.1.1.2912

Abstract

References

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Pdf

Autonomous GSM Mobile-Based Robot Navigation

N.Gandhimathi* , J.S.Steffi Tamil Mathi**

*-** UG Scholar, Department of Electronics and Communication Engineering, Dr. Sivanthi Aditanar College of Engineering, Tamilnadu, India.

Gandhimathi, N., and Steffi, J.S., Mathi, T.(2014). Autonomous GSM-Mobile Based Robot Navigation. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 20-23. https://doi.org/10.26634/jmt.1.1.2913

Abstract

References

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Node Disposition State Verification For Secure Routing In Mobile Ad Hoc Networks

K Sreenivasulu* , E. V. Prasad**, A. Subramanayam***

* Professor & H.O.D, Department of Computer Science and Engineering, Madina Engineering College, Kadapa, A.P, India. ** Professor & Director, LBRCE, Mylavaram, Krishna (Dist.) A.P, India. *** Professor & Dean Department of Computer Science and Engineering, AITS, Rajampeta, A.P, India.

Sreenivasulu, K., Prasad, E. V., and Subramanayam, A. (2014). Node Disposition State Verification For Secure Routing In Mobile Ad Hoc Networks. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 24-30. https://doi.org/10.26634/jmt.1.1.2914

Abstract

References

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A Survey On Multi User Communication Through Presence Cloud In MobileScalable Server Architecture

M.Giri* , M.Harsha Vardhan**

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India. ** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

Giri. M., and Vardhan, M. H. (2014). A Survey On Multi User Communication Through Presence Cloud In Mobile Scalable Server Architecture. i-manager’s Journal on Mobile Applications and Technologies, 1(1), 31-36. https://doi.org/10.26634/jmt.1.1.2915

Abstract

References

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R. Mohanapriya* , L.K.Hema, Dipeshwar Kumar Yadav*, Vivek Kumar Verma****

- Faculty, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India.

-**** UG Student, Aarupadai Veedu Institute of Technology, OMR, Paiyanoor, India.

Harish Tureha* , Ashok Kumar, Hardwari Lal Mandoria*

* M.Tech student, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India

Assistant Professor, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India.

* Professor and Head, Department of Information Technology, GBPUAT, Pantnagar, Uttarakhand, India.

K Sreenivasulu* , E. V. Prasad, A. Subramanayam*

* Professor & H.O.D, Department of Computer Science and Engineering, Madina Engineering College, Kadapa, A.P, India.

Professor & Director, LBRCE, Mylavaram, Krishna (Dist.) A.P, India.

* Professor & Dean Department of Computer Science and Engineering, AITS, Rajampeta, A.P, India.

* Professor and Head, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.

** M.Tech Scholar, Department of CSE, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh, India.