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

Current Issue Vol. 11 Issue 1

Most Cited

Volume 1 Issue 4 November - January 2015

Article

Challenges And Energy Efficient Techniques For High Performance Wireless Communications

Chidadala Janardhan* , Bhagath Pyda, J. Manohar*, K. V. Ramanaiah****

* Assistant Professor, Department of ECE, Priyadarshini College Of Engineering and Technology, Nellore, A.P

Assistant Professor, Department of ECE, Priyadarshini College Of Engineering and Technology, Nellore, A.P

* Associate Professor, Department of ECE, Jagan's College of Engineering and Technology, Nellore, A.P

**** Professor, Department of ECE, YSR Engineering College of YV University, kadapa, A.P

Janardhan, C., Pyda, B., Manohar, J., and Ramanaiah, K. V. (2015). Challenges And Energy Efficient Techniques For High Performance Wireless Communications. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 1-12. https://doi.org/10.26634/jmt.1.4.3516

Abstract

The fourth generation wireless communication systems have been deployed or are soon to be deployed in many countries. Wireless system designers have been facing the continually increasing demand for high data rates and mobility required by new wireless applications and therefore have started research on fifth generation wireless systems that are expected to be deployed beyond 2020. In next-generation wireless data networks, Massive Multiple Input Multiple Output (MIMO) is an exciting area of 5G wireless research. It promises significant gains that offer the ability to accommodate more users at higher data rates with better reliability while consuming less power. Massive MIMO has been identified as one of the promising disruptive air interface technologies to address the massive capacity requirement demanded by 5G wireless communications. Massive MIMO, also called Large-Scale Antenna Systems, is a promising candidate technology for meeting this demand. In this paper, the authors have discussed various promising technologies for 5G wireless communication systems, such as massive MIMO, energy-efficient communication techniques, and the key challenges and potential technologies for smart mobiles.

References

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[3]. Cheng-Xiang Wang, (2014). Heriot-Watt University and University of Tabuk Fourat Haider, NEC Telecom MODUS Ltd. Erol Hepsaydir, Hutchison 3G UK 5G Wireless Communication Systems:prospects and Challenges ,0163-6804/14/$25.00©2014 IEEE, IEEE Communications Magazine.

[4]. Borges et al. (2015). Aspirations, challenges, and open issues for software-based 5G networks in extremely dense and heterogeneous scenarios. EURASIP Journal on Wireless Communications and Networking (2015) 2015:164 DOI 10.1186/s13638-015-0380-8.

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[6]. P. Demestichas, A. Georgakopoulos, D. Karvounas, K. Tsagkaris, V. Stavroulaki, J. Lu, C. Xiong, and J. Yao, (2013). “5G on the horizon: Key challenges for the radioaccess network,” IEEE Vehicular Technology Magazine, Vol. 8, No. 3, pp. 47-53.

[7]. A. Zakrzewska, S. Ruepp, and M. Berger, (2014). “Towards converged 5G mobile networks - Challenges and current trends,” in Proc. ITU Kaleidoscope Academic Conference, pp. 39-45.

[8]. S. Talwar, D. Choudhury, K. Dimou, E. Aryafar, B. Bangerter, and K. Stewart, (2014). “Enabling technologies and architectures for 5G wireless,” in Proc. IEEE MTT-S International Microwave Symposium (IMS), pp. 1-4.

[9]. Q. Li, H. Niu, A. Papathanassiou, and G. Wu, (2014). “5G network capacity: Key elements and technologies,” IEEE Vehicular Technology Magazine, Vol. 9, No. 1, pp.71- 78.

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[12]. Milton feng, Shyh-chiang shen, David c. Caruth, and Jian-jang huang (2004). “Device Technologies for RF Front-End Circuits in Next-Generation Wireless Communications”, Proceedings of the IEEE, Vol. 92, No. 2.

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[15]. Massive MIMO for next generation wireless systems Published in: Communications Magazine, IEEE Volume: 52, Issue: 2, Page(s):186 - 195, ISSN :0163-6804 INSPEC Accession Number:14096896 DOI

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Research Paper

Smartphone Applications–A Comparative Study BetweenOlder And Younger Users

Tom Page*

Senior Lecturer, Electronic Product Design, Loughborough Design School, Loughborough University, UK.

Page, T. (2015). Smartphone Applications–A Comparative Study Between Older And Younger Users. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 13-24. https://doi.org/10.26634/jmt.1.4.3517

Abstract

This research considers whether smartphones satisfy the needs of all generations. The research methods used a user questionnaire, (n=60) divided equally between young and old consumers and an interview conducted with six smartphone users. The main findings were that, both groups require efficient functionality with regards to basic smartphone activities such as making phone calls and sending text messages, but that the difference lies in how much the two sets of consumers viewed social media access as an important feature. While older users showed little concern for socially orientated applications, the young consumer group showed a dependence upon it as an aid to their daily lifestyle. The study concluded that whilst basic functionality is a standard requirement for any user, the exponential growth of technology and increasing demand for social communication has caused a divide between the young and old consumers. The market is now dominated by the younger generation and so the older users' needs and requirements are shown to be overshadowed in current smartphone design.

References

[1]. BBC News Technology (2012). UN: Six billion smartphone subscriptions in the world, Retrieved (29. April, 2014). from http://www.bbc.co.uk/news/technology- 19925506

[2]. BBC News, (2004). Mobile users 'want cheaper calls'. Retrieved (29. April, 2014) from http://news.bbc.co.uk /1/hi/technology/3656112.stm

[3]. BBC News Technology (2010). Over 5 billion smartphone connections worldwide. Retrieved (29. April, 2014) from http://www.bbc.co.uk/news/10569081

[4]. Braggs, S. (2011). Smartphone History. etrieved (29. April, 2014) from http://www.mobilephonehistory.co.uk/ index.html

[5]. Cornish, D. (2012). Five years, six iPhones: the evolution of Apple's mobile. Retrieved (29. April, 2014) from http://www.wired.co.uk/news/archive/2012-09/21/ iphone-comparison

[6]. Elderberry (2012). A smartphone for the nonsmartphone generation. Retrieved (29. April, 2014) from http://www.elderberrydirect.co.uk/big-numbers-mobilephone. html

[7]. Gahran, A. (2011). Staying safe while using Facebook on smartphones. Retrieved (29. April, 2014) from http://edition.cnn.com/2011/09/13/tech/mobile/facebo ok-mobile-safety

[8]. GSM Arena Team (2011). Smartphone usage report 2011: The things you do. Retrieved (29. April, 2014) from http://www.gsmarena.com/mobile_phone_usage_surve y-review-592p3.php

[9]. Holzinger, S. N. (2007). On Some Aspects of Improving Mobile Applications for the Elderly. C. Stephanidis (Ed.): Universal Access in HCI, Part I, HCII 2007, LNCS 4554, pp. 923–932, Heidelberg:Springer-Verlag.

[10]. Jupp, V. (Ed.). (2007). The Sage dictionary of social research methods. Thousand Oaks, CA:

[11]. SAGE.Kurniawan, S. (2008). Older people and smartphones: A multi-method investigation. International Journal of Human-Computer Studies, Vol. 66, No. 12, pp. 889–901.

[12]. Conci, M.,Pianesi, F. and Zancanaro, M. (2009). Useful, social and enjoyable: smartphone adoption by older people. Human-Computer Interaction–INTERACT 2009, pp. 63-76. Upsala: Springer.

[13]. Moeller, S. D. (2010). A Day without Media. Retrieved (29. April, 2014) from http://withoutmedia.wordpress.com /study-conclusions/ primarymedia/

[14]. Nielsen (2010). The State of Mobile Apps. Retrieved (29. April, 2014) from http://blog.nielsen.com/ nielsenwire/online_mobile/the-state-of-mobile-apps

[15]. Nielsen (2012). Young Adults and Teens Lead Growth Among Smartphone Owners. Retrieved (29. April, 2014) from htt p://blog nielsen.com/nielsenwire /online_mobile/young-adults-and-teens-lead-growthamong- smartphone-owners/

[16]. Reardon, M. (2007). 10 things your phone will do in 10 years.Retrieved(29.April,2014)from http://www.cnet.com/4520-13387_1-6737990-1.html

[17]. Smith, A. (2011). Summary of Findings. Americans and Text Messaging. Retrieved (29. April, 2014) from http://www.pewinternet.org/2011/09/19/americansand- text-messaging/

[18]. The People History (2004). The Changes to Smartphones over The Last 30 Years. Retrieved (29. April, 2014) from http://www.thepeoplehistory.com/ mobilephones.html.

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Research Paper

Firefly Based Routing For Optimized Transmission Over MANETs

Rahul Gupta* , Rajesh Kumar**

* M.Tech, Department of Computer Science and Applications, Thapar University, Patiala.

** Associate Professor, Department of Computer Science and Engineering, Thapar University, Patiala.

Gupta, R., and Kumar, R. (2015). Firefly Based Routing For Optimized Transmission Over MANETs. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 25-32. https://doi.org/10.26634/jmt.1.4.3518

Abstract

Mobile Ad Hoc Networks (MANETs) are infrastructure less networks that are very dynamic in nature. The main problem with such networks is mobility of the nodes, the nodes are free to roam arbitrarily, thus the topology changes from time to time, and the route acquisition in such a network is always a tedious task. In this paper, the authors describe an algorithm implemented based on a firefly algorithm (an implementation of swarm intelligence). Firefly algorithm capture the nature of fireflies i.e. how they do the task individually and how they coordinate with each other to create a system. This algorithm is compared with the state-of-the art routing algorithm and it thus improves MANETs routing performance in terms of the packet delivery ratio, packet loss, throughput and delay.

References

[1]. Aarti, Dr SS. Tyagi, (2013). “Study Of Manet: Characteristics, Challenges, Application And Security Attacks”. International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, No. 5, pp. 252-257.

[2]. Singh, Tanu Preet, R. K. Singh, and Vishal Sharma (2011). "An Efficient Delay Elimination Protocol (EDEP) for mobile ad hoc networks." In International Conference on Communication and Industrial Application (ICCIA), pp. 1- 5.

[3]. Singh, Tanu Preet, R. K. Singh, and Vishal Sharma (2012). "Ad hoc on Demand delay Elimination (AODE) routing protocol for mobile Ad Hoc Networks and its performance comparison".

[4]. Singh, Tanu Preet, Manmeet Kaur, and Vishal Sharma (2011). "Automated Recovery Based Power Awareness (ARPA) Algorithm for MANETs." In International Conference on Circuits, System and Simulation (IPCSIT), Vol. 7

[5]. Azzedine Boukerche, Begumhan Turgut, Nevin Aydin, Mohammad Z. Ahmad, Ladislau Boloni and Damla Turgut (2011). "Routing protocols in ad hoc networks: A survey." Computer Networks, Vol. 55, No. 13, pp. 3032-3080.

[6]. Frederick Ducatelle, Gianni A. Di Caro, and Luca M. Gambardella (2010). "Principles and applications of swarm intelligence for adaptive routing in telecommunications networks." Swarm Intelligence, Vol. 4, No. 3, pp. 173-198.

[7]. Gianni Di Caro , Frederick Ducatelle, and Luca Maria Gambardella (2005). "Swarm intelligence for routing in mobile ad hoc networks." In Proceedings of the IEEE Swarm Intelligence Symposium, pp. 76-83.

[8]. Xin She Yang, (2014). “Nature-inspired optimization algorithms”, Elsevier.

[9]. Golshahi, Mohammad, Mohammad Mosleh, and Mohammad Kheyrandish (2008). "Implementing an ACO routing algorithm for AD-HOC networks." In International Conference on Advanced Computer Theory and Engineering, ICACTE’08, pp. 143-147.

[10]. Young Bae Ko and Nitin H. Vaidya (2000). "Location-Aided Routing (LAR) in mobile ad hoc networks." Wireless Networks, Vol. 6, No. 4 , pp. 307-321.

[11]. Daniel Camara and Antonio AF Loureiro (2000). "A gps/ant-like routing algorithm for ad hoc networks." In Wireless Communications and Networking Confernce, WCNC. 2000 IEEE, Vol. 3, pp. 1232-1236.

[12]. Sanjay Marwaha, Chen Khong Tham, and Dipti Srinivasan (2002). "A novel routing protocol using mobile agents and reactive route discovery for ad hoc wireless th networks." In 10 IEEE International Conference on Networks, ICON 2002, pp. 311-316.

[13]. Gianni Di Caro and Marco Dorigo (1997). “AntNet: A mobile agents approach to adaptive routing.” Technical Report IRIDIA/97-12, IRIDIA, Université Libre de Bruxelles, Belgium.

[14]. John S. Baras and Harsh Mehta (2003). "A probabilistic emergent routing algorithm for mobile ad hoc networks." In WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, pp. 10.

[15]. Zeng Yuan-Yuan and He Yan-Xiang (2005). "Ant routing algorithm for mobile ad-hoc networks based on adaptive improvement." In Proc, International Conference on Wireless Communications, Networking and Mobile Computing, Vol. 2, pp. 678-681.

[16]. D. Siva. Kumar, (2007). "Proposal on multi agent ants based routing algorithm for mobile ad-hoc networks".

[17]. Jianping Wang, Eseosa Osagie, Parimala Thulasiraman, and Ruppa K (2009). Thulasiram. "HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network." Ad Hoc Networks, Vol. 7, No. 4, pp. 690-705.

[18]. Eseosa Osagie, Parimala Thulasiraman, and Ruppia K. Thulasiram. "PACONET: imProved ant colony optimization routing algorithm for mobile ad hoc nd networks." In 22 International Conference on Advanced Information Networking and Applications, AINA 2008, pp. 204-211.

[19]. Ahmed M. Abd Elmoniem, Hosny M. Ibrahim, Marghny H. Mohamed, and Abdel-Rahman Hedar (2011). "Ant Colony and Load Balancing Optimizations for AODV Routing Protocol?." Int J Sens Netw Data Commun, Vol. 1, No. 1, pp. 1-14.

[20]. Gurpreet Singh, Neeraj Kumar, and Anil Kumar Verma (2014). "ANTALG: An Innovative ACO based Routing Algorithm for MANETs." Journal of Network and Computer Applications, Vol. 45, pp.151-167.

[21]. Xin She Yang, (2008). “Introduction to computational mathematics”, World Scientific.

[22]. Ming Yu, Aniket Malvankar, Wei Su, and Simon Y. Foo (2007). “A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks." Computer Communications, Vol. 30, No. 18, pp. 3823-3831.

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Research Paper

Performance And Analysis Of Suitable Algorithms For Symmetric Encryption Of Messages In Mobile Phones

P. Padmanabham* , Shahebaz Ahmed Khan**

* Professor, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India.

** P.G Scholar, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India.

Padmanabham, P., and Khan, S.A. (2015). Performance And Analysis Of Suitable Algorithms For Symmetric Encryption Of Messages In Mobile Phones. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 33-38. https://doi.org/10.26634/jmt.1.4.3519

Abstract

The aim of this paper is to study the symmetric algorithms like DES, RC5, AES, Triple DES, BLOWFISH etc. and to analyse their performance, mainly their beats and end memory requirements are studied to pick suitable algorithms to be implemented on the mobile and handheld devices. All the above algorithms will be first implemented in C, C++ or JAVA and their performances will be analysed. The suitable algorithm will be ported onto the mobile phones using Android. The proposal extends as when an encrypted message is sent from one mobile phone to the other, a standard and essential key is provided which is symmetric in nature. If any of the two or more parties want to open the message that is sent to them, they have to utilize the secret code in the provided key without leaving even a single digit. The message will be decrypted only after the full key version has matched with the given symmetry of the key. This makes the data or any information more secure even in the mobile devices for the common users by non-repudiation. This ensures the use of cryptography and its advantages by the end users of mobile phones for confidentiality.

References

[1]. Atul Kahate (2008). “Cryptography and Network Security”, Tata McGraw-Hill Companies.

[2]. William Stallings (2004). “Network Security Essentials (Applications and Standards)”, Pearson Education.

[3]. Ronald L. Rivest, (1995). “RC5 Encryption Algorithm”, Dr. Dobbs Journal, Vol. 226, pp. 146-148.

[4]. Ronald L. Rivest, (1997). “The RC5 Encryption Algorithm”, MIT Laboratory for Computer Science 545 Technology Square, Cambridge, Mass.02139, Available at: httu://theory.lcs.mit.cdu/-rivest/Rivest-rc5rev.pd.

[5]. Khawlah A. AI-Rayes, Aise Zulal Sevkli, Hebah F. AIMoaiqel, Haifa M. AI-Ajlan, Khawlah M. AI-Salem, Norah I. AI-Fantoukh (2011). "A Mobile Tourist Guide for Trip Planning" IEEE Multidisciplinary Engineering Education Magazine, Vol. 6, No. 4.

[6]. MIDP_Mobile_Media_API_Developers_Guide_v2_en

[7]. Daemen, J., and Rijmen, V (2001). "Rijndael: The Advanced Encryption Standard." Dr. Dobb's Journal.

[8]. R.L. Rivest, A. Shamir, and L. Adleman, (1978). “A Method for Obtaining Digital Signatures and Public-Key Cryptosystems,” Communication of the ACM, Vol. 21.

[9]. “Detecting passive content leaks and pollution in android applications,” in Proceedings of the Network and Distributed System Security Symposium.

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Research Paper

Security Profiles With Fine-Grained Policies On Smartphone

A. Malathy* , T.A. Vijayalakshmi, V. Kumar, I. Rajesh, M. Banuchitra

* Network Engineer, Mgauge, Chennai.

, * Assistant Professor, Department of Computer Science and Engineering, Knowledge Institute of Technology, Salem.

* HOD, Department of Computer Science and Engineering, Knowledge Institute of Technology, Salem.

**** Associate Professor, Department of Computer Science and Engineering, Knowledge Institute of Technology, Salem.

Malathy, A., Vijayalakshmi, T. A., Kumar, V., Rajesh, I., and Banuchitra, M. (2015). Security Profiles With Fine-Grained Policies On Smartphone. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 39-43. https://doi.org/10.26634/jmt.1.4.3520

Abstract

Smart Phone is a single device that can be used in different environments, where corporate data and applications in it, are separated from the personal data and applications. Data and applications are stored in different compartments. Security profiles are created and applications are assigned to it. In general, access to data and applications will be implemented by a set of regulatory principles. In the case a Smartphone gets stolen and a third person tries to steal sensitive information it is currently prove to breach of the security system. To overcome this problem a new system is proposed. The user can protect their sensitive data and applications from hackers with the help of the security profiles they created and the profiles will be enabled automatically based on the location. If a third person tries to change the profile manually, the system may ask for security code. If he gives wrong code more than five times then the data will be deleted from the internal memory of the Smartphone. Hence data is secured and protected by means of the security profile.

References

[1]. Yury Zhauniarovich, Giovanni Russello, Bruno Crispo (2014). “MOSES: Supporting and Enforcing Security Profiles on Smartphones”, IEEE Transactions on depandable and security computing, Vol.11, No. 3.

[2]. Shabtai, A., Fledel, Y., Kanonov, U., Elovici, Y., Dolev, S. and Glezer, C. (2010), “Google Android: A Comprehensive Security Assessment, IEEE Security and Privacy, Vol. 8, No. 2, pp. 35-44.

[3]. Russello, G., Crispo, B., Fernandes, E. and Zhauniarovich, Y. (2011). “YAASE: Yet Another Android Security Extension”, Proc. IEEE Third Intl Conf. Social Computing and Privacy, Security, Risk and Trust (SocialCom/PASSAT), pp. 1033-1040.

[4]. Dresden, T.U. and of Technology Berlin (2014), „L4Android, http://l4android.org/2014.

[5]. Conti, M., Crispo, B., Fernandes, E. and Zhauniarovich, Y. (2012). “CRePE: A System for Enforcing Fine-Grained Context-Related Policies on Android, IEEE Trans. Information Forensics and Security, Vol. 7, No. 5, pp. 1426-1438.

[6]. Enck, W., Gilbert, P., Chun, B.G., Cox, L.P., Jung, L., McDaniel P. and Sheth, A.N. (2010). “Taintdroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones”, Proc. Ninth USENIX Conf. Operating Systems Design and Implementation (OSDI 10), pp. 1-6.

[7]. Beresford,A.R., Rice,A., and Skehin,N. (2011). “MockDroid: Trading Privacy for Application Functionality on Smartphones, Proc. 12th Workshop Mobile Computing Systems and Applications (HotMobile’ 11), pp. 49-54.

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

Current Issue Vol. 11 Issue 1

Most Read

Most Cited

Volume 1 Issue 4 November - January 2015

Challenges And Energy Efficient Techniques For High Performance Wireless Communications

Chidadala Janardhan* , Bhagath Pyda**, J. Manohar***, K. V. Ramanaiah****

Janardhan, C., Pyda, B., Manohar, J., and Ramanaiah, K. V. (2015). Challenges And Energy Efficient Techniques For High Performance Wireless Communications. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 1-12. https://doi.org/10.26634/jmt.1.4.3516

Abstract

References

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Smartphone Applications–A Comparative Study BetweenOlder And Younger Users

Tom Page*

Senior Lecturer, Electronic Product Design, Loughborough Design School, Loughborough University, UK.

Page, T. (2015). Smartphone Applications–A Comparative Study Between Older And Younger Users. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 13-24. https://doi.org/10.26634/jmt.1.4.3517

Abstract

References

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Firefly Based Routing For Optimized Transmission Over MANETs

Rahul Gupta* , Rajesh Kumar**

* M.Tech, Department of Computer Science and Applications, Thapar University, Patiala. ** Associate Professor, Department of Computer Science and Engineering, Thapar University, Patiala.

Gupta, R., and Kumar, R. (2015). Firefly Based Routing For Optimized Transmission Over MANETs. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 25-32. https://doi.org/10.26634/jmt.1.4.3518

Abstract

References

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Performance And Analysis Of Suitable Algorithms For Symmetric Encryption Of Messages In Mobile Phones

P. Padmanabham* , Shahebaz Ahmed Khan**

* Professor, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India. ** P.G Scholar, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India.

Padmanabham, P., and Khan, S.A. (2015). Performance And Analysis Of Suitable Algorithms For Symmetric Encryption Of Messages In Mobile Phones. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 33-38. https://doi.org/10.26634/jmt.1.4.3519

Abstract

References

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Security Profiles With Fine-Grained Policies On Smartphone

A. Malathy* , T.A. Vijayalakshmi**, V. Kumar***, I. Rajesh****, M. Banuchitra*****

Malathy, A., Vijayalakshmi, T. A., Kumar, V., Rajesh, I., and Banuchitra, M. (2015). Security Profiles With Fine-Grained Policies On Smartphone. i-manager’s Journal on Mobile Applications and Technologies, 1(4), 39-43. https://doi.org/10.26634/jmt.1.4.3520

Abstract

References

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Chidadala Janardhan* , Bhagath Pyda, J. Manohar*, K. V. Ramanaiah****

* M.Tech, Department of Computer Science and Applications, Thapar University, Patiala.

** Associate Professor, Department of Computer Science and Engineering, Thapar University, Patiala.

* Professor, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India.

** P.G Scholar, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Telangana, India.

A. Malathy* , T.A. Vijayalakshmi, V. Kumar, I. Rajesh, M. Banuchitra