i-manager Publications

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

Current Issue Vol. 11 Issue 1

Most Cited

Volume 2 Issue 3 August - October 2015

Research Paper

Drivers and Barriers to the Internet of Things

Tom Page*

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

Page, T. (2015). Drivers and Barriers to the Internet of Things. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 1-11. https://doi.org/10.26634/jmt.2.3.5948

Abstract

The aim of this research is to investigate the development and implications for applications and future directions of the Internet of Things (IoT). The current understanding of the Internet of Things is explored and discussed to understand, what is currently understood because IoT has been often considered a vague and relatively little understood concept. A range of users were asked to describe their understanding of the IoT and how they use IoT devices. A significant finding showed that although the term Internet of Things has been known for several years and is becoming increasingly more widespread. However, there are privacy concerns with regards to the large amounts of personal data, transferred between IoT devices.

References

[1]. Ashton, K., (2009). “That 'Internet of Things' Thing”. RFID Journal. Retrieved from http://www.rfidjournal.com/ articles/view? 4986 on 3/1/15.

[2]. Atzori, L., (2010). “The Internet of Things: A survey”. Computer Networks, Vol. 54, No. 15, pp. 2787–2805.

[3]. Bankinter, F., (2011). The impact of the Internet of things on business and society. Retrieved from http://www. fundacionbankinter.org/system/documents/8194/origina l/Chapter_4_The_impact_of_the_IoT_in_Business_and_s ociety.pdf on 2/1/15.

[4]. Beavis, G. (2012). The Samsung Galaxy SIII - A phone Worthy of the Hype. Retrieved from http://www.techradar. com/reviews/phones/mobile-phones/samsung-galaxys3- 1078667/review/15#articleContent on 16/1/15.

[5]. Bland, J., (2014). Cameron Turns 'internet of things' Slogan into Fact. Retrieved from http://www.theguardian. com/science/political-science/2014/mar/10/sciencepolicy on 4/9/2014.

[6]. Boudreaux, R., (2012). The Web of Things: A Web- Connected World of Smart Devices. Retrieved from http://www.techrepublic.com/blog/web-designer/theweb- of-things-a-web-connected-world-of-smartdevices/ 2192/ on 20/1/15.

[7]. Crump, J. and Brown, I., (2013). The Societal Impact of the Internet of Things. Retrieved from http://www. bcs.org/upload/pdf/societal-impact-report-feb13.pdf on 16/1/2015.

[8]. Duncan, G., (2014). You can't Avoid the 'Internet of Things' Hype, so you might as well understand it. Retrieved from http://www.digitaltrends.com/home/heck-internetthings- dont-yet/#!zxFgN on 8/1/15.

[9]. Dimov, D., (2013). Privacy Implications of the Internet of Things. Retrieved from http://resources.infosecinstitute. com/privacy-implications-internet-things/ on 14/1/15.

[10]. Eguchi, A., (2013). “Everything is alive: Towards the future wisdom Web of Things”. World Wide Web, Vol. 16, No. 4, pp. 357-378.

[11]. Gong, W., Ma, Y., Zhang, Y., Chen P., (2012). “Research of NFC Technology on Smartphone”, International Journal of Advancements in Computing Technology (IJACT), Vol. 4, No. 18, pp.366-372.

[12]. Gray, R., (2013). The places Where Google Glass is Banned. Retrieved from http://www.telegraph.co.uk /technology/google/10494231/The-places-where- Google-Glass-is-banned.html on16/1/2015.

[13]. Pfisterer, D. (2011). “SPITFIRE: toward a semantic Web of Thing”. Communications Magazine, Vol. 49, No. 11, pp. 40 - 48.

[14]. Lita R.E. and Rivlin. A.M., (2001). “Projecting the Economic Impact of the Internet”. The American Economic Review, Vol. 91, No. 2, pp. 313-317.

[15]. Sujith, S. (2013). “Building sustainable parking lots with the Web of Things”. Personal and Ubiquitous Computing, Vol. 18, No. 1, pp.1617-4917.

[16]. Which, (2014). Contactless Cards. Retrieved from http://www.which.co.uk/money/credit-cards-and-loans/ guides/contactless-cards/ on 16/1/2015.

[17]. Yan, L., (2008). The Internet of Things. Florida: Taylor & Francis Group.

Full Article (HTML)

Pdf

Research Paper

Dynamic Mobility Management Scheme for Inter Handoff in Hybrid Wireless Mesh Networks

Narayana Rao* , Subba Rao CH.D.V.**

Abstract

This paper has been withdrawn by the author

References

[1]. Abhishek Majumder and Sudipta Roy, (2013). “Design and Analysis of a Dynamic Mobility Management Scheme for Wireless Mesh Network”. The Scientific World Journal.

[2]. Bahareh Nazari and Su Wen, (2010). “A Case for Mobility- and Traffic-Driven Routing Algorithms for Wireless Access Mesh Networks”. In Proceedings of IEEE European Conference in Wireless Networks.

[3]. M. Siva Rama Krishna, G. Venkata Rami Reddy and E. Jagadeeswara Rao, (2014). “Design of Pointer forwarding schemes for Mobility Management of Multi Gateway Wireless Mesh Networks”. International Journal of Engineering and Management Research, Vol. 4, No. 4, pp. 17-21.

[4]. Jiaying Song, Qiuyan Liu, Zhangdui Zhong and Xu Li, (2012). “A Cooperative Mobility Management Scheme for Wireless Mesh Networks”. IEEE International Workshop on Personalized Networks.

[5]. Ikbel Daly, Faouzi Zarai and Lotfi Kamoun, (2011). “A Protocol for Re-authentication and Handoff Notification in Wireless Mesh Networks”. IJCSI International Journal of Computer Science Issues, Vol. 8, No. 2.

[6]. Amel Achour, Kamel Haddadou, Brigitte Kervella and Guy Pujolle, (2012). “Inter-Domain Mobility Management Solution for Service Continuity in IMS-based Networks”. IEEE International Workshop on Future Multimedia Networking.

[7]. Mohsin Ali, Md. Ziaur Rahman Khan, and Md. Ashraful Alam, (2010). “A Profile-based Two-level Pointer forwarding Cache Scheme for Reducing Location Management Cost in Wireless Mobile Networks”. International Journal of Computer Applications, Vol. 3.

[8]. Sungwon Lee, Hong-Jong Jeong and Dongkyun Kim, (2012). “Mobility Management Scheme for Supporting Legacy Clients in IEEE 802.11s WMNs”. IEEE International Conference on Consumer Electronics (ICCE).

[9]. Shih-Hsien Yang and Lichun Bao, (2011). “Scalable Mobility Management in Large-Scale Wireless Mesh Networks”. IEEE WCNC Network.

[10]. Abhishek Majumder, Sudipta Roy and Kishore Kumar Dhar, (2013). “Design and Analysis of an Adaptive Mobility Management Scheme for Handling Internet Traffic in Wireless Mesh Network ”. International Conference on Microelectronics, Communication and Renewable Energy.

[11]. Yinan Li and Ing-Ray Chen, (2012). “Mobility Management in Wireless Mesh Networks Utilizing Location Routing and Pointer Forwarding”. IEEE Transactions on Network and Service Management, Vol. 9, No. 3.

[12]. Zhenxia Zhang, Richard W. Pazzi, Azzedine Boukerche, (2010). “ A mobility management scheme for wireless mesh networks based on a hybrid routing protocol”. Journal of Computer Networks, Vol. 54, pp. 558–572.

[13]. Yinan Li and Ing-Ray Chen, (2011). “Design and Performance Analysis of Mobility Management Schemes Based on Pointer Forwarding for Wireless Mesh Networks”. IEEE Transactions on Mobile Computing, Vol. 10, No. 3.

[14]. A. Narayana Rao and D.V.Subba Rao, (2015). “Way- Point Multicast Routing Framework for Improving QoS In Hybrid Wireless Mesh Networks”. Wireless Networks, Springer.

[15]. The Network Simulator-ns2. Retrieved from http:/// www.isi.edu/nsnam/ns

Full Article (HTML)

Pdf

Research Paper

An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique

P. Sarika* , V. V. Rama Prasad**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

** Professor and Chairman, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

Sarika, P., and Prasad, V.V.R. (2015). An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 21-29. https://doi.org/10.26634/jmt.2.3.5950

Abstract

Mobile ad-hoc networks (MANET) are formed by a group of mobile nodes and does not have any fixed infrastructure. Due to the node mobility nature in MANETs, different routing challenges such as, power constraints, link failures, and path breakages occur. Many routing protocols both proactive and reactive have been implemented to solve the routing challenges, but these protocols cannot defeat these issues in a complete manner. Researchers made an attempt to research on swarm intelligence based nature inspired algorithms to defeat the routing problems faced by the mobile ad-hoc networks. In the existing approach, BAT optimization which is a swarm intelligence technique was used to find the best path for Ad-hoc On-demand Multipath Distance Vector (AOMDV) protocol based on link availability and neighbour node queuing delay. But, this approach does not maintain a balanced control packet overhead. So, in this paper Bee Inspired routing Protocol (BeeIP) is proposed to provide multipath routing for mobile ad-hoc networks. BeeIP is a swarm intelligence based routing technique, which uses the honey bee forager behavior. Simulation results show that, the proposed approach BeeIP outperforms the BAT-AOMDV in terms of network performance metrics such as, packet delivery ratio, control overhead, average end to end delay.

References

[1]. Alexandors Giagkos, (2013). “BeeIP-A Swarm Intelligence based routing for wireless adhoc network”. Journal of Information Science, Elsevier, Vol. 265, pp. 23- 35.

[2]. CH. V. Raghavendran, G. Naga Satish, and P. Suresh, (2012). “Intelligent Routing Techniques for Mobile Ad-hoc Networks using Swarm Intelligence”. I.J. Intelligent Systems and Applications, pp 81-89.

[3]. D. J., Jiang and S. M, and Rao J. Q, (1999). “Prediction of link availability in wireless ad-hoc networks”. In The Singapore Pervasive Computing Conference, pp. 17-19.

[4]. Devi Manickavelu and Rhymend Uthariaraj Vaidyanathan, (2014). “Particle Swarm Optimization (PSO)-Based Node and Link Lifetime Prediction Algorithm for Route Recovery in MANET”. Springer EURASIP Journal on Wireless Communications and Networking, pp. 1-10.

[5]. Horst. F. Wedde, Muddassar Farooq, Thorsten Pannenbaecker, Bjoern Vogel, Christian Mueller, Johannes Meth and Rene Jeruschkat, (2005). “BeeAdHoc: An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired by Bee Behavior”. ACM Publications, pp 1-8.

[6]. Jiang.S and Rao. J, (2000). “A Link Availability Prediction Model for Wireless Ad Hoc Networks”. In ICDCS Workshop on Wireless Networks and Mobile Computing, pp. D7-D11.

[7]. Khimsara, Kambhatla.K, Hwang.J, Kumar.S, and Matyjas.J, (2010). “AM-AOMDV: Adaptive Multi-metric Adhoc On-demand Multipath Distance Vector routing”. Journal of Ad-Hoc Networks, Springer, Berlin, Heidelberg, pp. 884-895.

[8]. Mauricio Schiezaro and Helio Pedrini (2013). “Data feature selection based on Artificial Bee Colon algorithm”. Springer EURASIP Journal on Image and Video Processing, pp. 1-10.

[9]. Mesut Gunes, UdoSorges, and ImedBouazizi (2002). “ARA-The Ant-Colony Based Routing Algorithm for MANETs”. International Workshop on Ad-Hoc Networking (IWAHN 2002), Vancouver, British Columbia, Canada, pp 1-7.

[10]. Prabha R, and Ramaraj N, (2015). “An improved multipath MANET routing using link estimation and swarm intelligence”. Springer EURASIP Journal on Wireless Communications and Networking. pp1-9.

[11]. A. Giagkos, (2012). “Protocol Design and Implementation for Bee-Inspired Routing in Mobile AdHoc Networks”. (Doctoral Dissertation), Aberystwyth University.

Full Article (HTML)

Pdf

Research Paper

Providing Security to the Neighbouring Nodes in the Data Link Layer using Pseudo Random with RSA Algorithm

N. Poornima* , M.Ganesh Karthik**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

Poornima, N., and Karthik, M.G. (2015). Providing Security to the Neighbouring Nodes in the Data Link Layer using Pseudo Random with RSA Algorithm. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 30-35. https://doi.org/10.26634/jmt.2.3.5951

Abstract

Mobile adhoc networks are a gathering of mobile nodes that communicate through a wireless channel without any unchanging infrastructure such as an access point or a mobile base station. In this network, every node transmits data from the forwarding packets to its neighboring nodes. Some nodes may not participate in forwarding the packets for the reduction in its resources. The presence of selfish behavior among the nodes may lead to network partition and makes a major harmful impact in the network operation. To avoid such conditions, selfish node inference is essential. To overcome this problem some techniques like, a credit based technique, reputation based technique, Record and Trust Based Detection techniques (RTBD) and so on, have been used. The proposed model provides security to the neighbor nodes by using pseudo random number generation using RSA algorithm, to avoid the neighboring node from being compromised by the selfish node. It significantly improves the performance metrics such as, packet delivery ratio, energy, and routing overhead.

References

[1]. Jebakumar Mohan Singh Pappaji Josh Kumar, Kathirvel, Namaskaram Kirubakaran, Ayyaswamy Perumal Sivaraman and Muthusam Subramanian, (2015). “A unified approach for detecting and eliminating selfish nodes in MANETs using TBUT”. EURASIP Journal on Communications and Networking, Vol. 143, pp. 1-11.

[2]. K. Pazhanisamy, and Lathaparthiban, (2014). “PRN using RSA Algorithm for Secure Routed Creation and Data Transfer in MANETs”. International Journal of Engineering and Technology (IJET), ISSN : 0975-4024, Vol. 6, pp. 2.

[3]. Kaur Sharndeep, and Gupta Anuj, (2014). “A review on different secure routing protocols and security attacks in mobile adhoc networks”. International Journal of Advanced Engineering Technology, E-ISSN 0976-3945, pp.01-05.

[4]. Senthilkumar Subramanian, William Johnson and Karthikeyan Subramanian, (2014). “A distributed framework for detecting selfish nodes in MANET using Record and Trust-Based Detection (RTBD) technique”. Wireless Communications and Networking, Vol. 205, pp.1-10.

[5]. Mangesh M. Ghonge and P. M. Jawandhiya, (2015). “Survey on Selfish Node Detection System in MANETs”. International Journal of Research in Advent Technology, E-ISSN: 2321-9637, Vol. 3, No. 8.

[6]. K. Vinoth Kumar, and A. Rajaram, (2014). “An Efficient Security Aware Routing Protocol for Mobile Ad-Hoc Networks”. IJCSNS International Journal of Computer Science and Network Security, Vol.14, No. 12.

Full Article (HTML)

Pdf

Review Paper

A Routing Algorithm in MANET - A Survey

R. Madhumitha* , A. Subramani**

*PG Scholar, Government Arts College, Dharmapuri, Tamilnadu, India.

**Assistant Professor, Department of Computer Science, Government Arts College, Dharmapuri, India.

Madhumitha, R., and Subramani, A. (2015). A Routing Algorithm in MANET - A Survey. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 36-43. https://doi.org/10.26634/jmt.2.3.5952

Abstract

Mobile Ad-hoc Network (MANET) is most often a cluster of wireless mobile nodes dynamically establishing a brief live network without the use of network infrastructure. MANET is associated with the rising space of analysis in the communication network world. The change in network topology due to node movement associated with the link failure and creation, source in radio resources and bandwidth, limited battery power and computing capability pose challenges in packet routing in MANET. Energy efficiency is the most important design consideration in MANETs, due to the limited battery life of mobile terminals. The network lifetime will improve suitability, reducing the requirement power of connections. A number of Routing protocols have been proposed in the recent scenario. There are many advantages and disadvantages in those algorithms. This paper is a survey of the new and improved energy based routing methods in Mobile Adhoc Networks.

References

[1]. K. Prabu, (2014). “Improved Route stability in Mobile Ad-hoc Network Using Energy Saver Path Routing Algorithm”. In International Journey of Modern Computer Science (IJMCS), Vol. 2, No. 4.

[2]. Utkarsh, Mukesh Mishra and Suchismita Chinara, (2012). “ESAR: Energy Saver for Ad-hoc Routing Algorithm th for MANET”. 4 International Conference on Advanced Computing (ICoAC), pp. 1-5.

[3]. Yong Oh Lee and A.L. Narasimha Reddy, (2012). “Multipath Routing for Reducing Network Energy”. Online Conference on Green Communications (GreenCom), IEEE, pp. 44-49.

[4]. K. Prabu, (2015). “Power Aware Routing Protocol in Mobile Ad-hoc Networks”. In IJCSI International Journal of Computer Science, Vol. 12, No. 2.

[5]. J. Nandhini, and D. Sharmila, (2013). “Energy Efficient Routing Algorithm for Mobile Adhoc Networks”. In International Journal of Soft Computing and Engineering (IJSCE), ISSN:2231-2307, Vol. 3, No. 3.

[6]. Tahira Farid and Anitha Prahladachar, (n.d.). “Secure Routing with AODV protocol for Mobile Ad-hoc networks”. University of Windsor.

[7]. Sanjay Sharma, and Pushpinder Singh Patheja, (2012). “Improving AODV Routing Protocol with Priority and Power Efficiency in Mobile AD-hoc Wimax Network”. In IJCTEE International Journal of Computer Technology and Electrical Engineering, Vol. 2 , No. 1.

[8]. Thiyam Romila Devi, Rameshwari Biswal, Vikrsm kumar, Abhishek Jena, (2013). “Implementation of Dynamic Source Routing (DSR) in Mobile Ad Hoc Network (MANET)”. IJRET: international Journal of Research in Engineering and Technology, eISSN: 2319-1163\pISSn: 2321-7308, pp. 339-345.

[9]. Amith Khandakar, (2012). “Step by Step Procedural Comparison of DSR, AODV, and DSDV Routing Protocols”. th In 4 International Conference on Computer Engineering and Technology (ICCET 2012) IPCSIT, Vol. 40, LACSIT Press, Singapore .

[10]. Tamilarasan Santhamurthy, (2012). “A Quantitative Study and Comparison of AODV,OLSR and TORA Routing Protocols in MANET”. IJCSI International Journal of Computer Science, Vol. 9, No. 1.

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

Current Issue Vol. 11 Issue 1

Most Read

Most Cited

Volume 2 Issue 3 August - October 2015

Drivers and Barriers to the Internet of Things

Tom Page*

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

Page, T. (2015). Drivers and Barriers to the Internet of Things. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 1-11. https://doi.org/10.26634/jmt.2.3.5948

Abstract

References

Full Article (HTML)

Pdf

Dynamic Mobility Management Scheme for Inter Handoff in Hybrid Wireless Mesh Networks

Narayana Rao* , Subba Rao CH.D.V.**

Abstract

References

Full Article (HTML)

Pdf

An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique

P. Sarika* , V. V. Rama Prasad**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India. ** Professor and Chairman, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

Sarika, P., and Prasad, V.V.R. (2015). An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 21-29. https://doi.org/10.26634/jmt.2.3.5950

Abstract

References

Full Article (HTML)

Pdf

Providing Security to the Neighbouring Nodes in the Data Link Layer using Pseudo Random with RSA Algorithm

N. Poornima* , M.Ganesh Karthik**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India. ** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

Poornima, N., and Karthik, M.G. (2015). Providing Security to the Neighbouring Nodes in the Data Link Layer using Pseudo Random with RSA Algorithm. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 30-35. https://doi.org/10.26634/jmt.2.3.5951

Abstract

References

Full Article (HTML)

Pdf

A Routing Algorithm in MANET - A Survey

R. Madhumitha* , A. Subramani**

*PG Scholar, Government Arts College, Dharmapuri, Tamilnadu, India. **Assistant Professor, Department of Computer Science, Government Arts College, Dharmapuri, India.

Madhumitha, R., and Subramani, A. (2015). A Routing Algorithm in MANET - A Survey. i-manager’s Journal on Mobile Applications and Technologies, 2(3), 36-43. https://doi.org/10.26634/jmt.2.3.5952

Abstract

References

Full Article (HTML)

Pdf

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

** Professor and Chairman, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, JNTU Anantapur, Tirupati, India.

*PG Scholar, Government Arts College, Dharmapuri, Tamilnadu, India.

**Assistant Professor, Department of Computer Science, Government Arts College, Dharmapuri, India.