Improved Survivable Path Routing in WSN for IOT Applications

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-61 Number-4
Year of Publication : 2018
Authors : NaziaYoussuf Mir, Monika
DOI :  10.14445/22315381/IJETT-V61P231


MLA Style: NaziaYoussuf Mir, Monika "Improved Survivable Path Routing in WSN for IOT Applications" International Journal of Engineering Trends and Technology 61.4 (2018): 190-194.

APA Style:NaziaYoussuf Mir, Monika (2018). Improved Survivable Path Routing in WSN for IOT Applications. International Journal of Engineering Trends and Technology, 61(4), 190-194.

WSN is low power, scalable, fault tolerant network and the cost is very less as well as maintenance free. Nowadays, WSN are used for Internet of Things applications. Internet of Things scenario normally requires high reliability of data transmitted from source to destination node. During the broadcasting of the packets to find a route from source to destination node, congestion is inevitable in the network. This paper presents a routing scheme, which avoids the links with high congestion, which would result in lesser nodes opting for forwarding of packets. The proposed scheme shows improvement in terms of throughput, packet delivery ratio, and remaining energy.

[1] Edwin Prem Kumar Gilbert, BaskaranKaliaperumal, and Elijah Blessing Rajsingh , “Research Issues in Wireless Sensor Network Applications: A Survey” International Journal of Information and Electronics Engineering, Vol. 2, No. 5, September 2012.
[2] P.Ji, C. Wu, Y. Zhang and F. Chen, "A Low-Energy Adaptive Clustering Routing Protocol of Wireless Sensor Networks," Wireless Communications, Networking and Mobile Computing (WiCOM), 7th International Conference on, Wuhan, pp. 1-4, 2011.
[3] C.Hu and X. Li, "A clustering algorithm based on geography region for WSN," Electrical and Control Engineering (ICECE), International Conference on Yichang, pp. 480-483, 2011.
[4] G.Cao and F. Yu, "The Analysis of Load Balance for Wireless Sensor Network Using Compressive Sensing," Computational Science and Engineering (CSE), IEEE 14th International Conference on, Dalian, Liaoning, pp. 100-105, 2011
[5] SlaheddineChelbi, MajedAbdouli, RafikBouaziz and Claude Duvallet, “Multi-Hop Energy Efficient Routing Protocol Based on Data Controlling for Wireless Sensor Networks” IEEE, 2013
[6] AbderrahimMaizate AND Najib El kamoun, “Enhanced Passive Clustering Based on Distance and Residual Energy for Wireless Sensor Network”, IEEE, 2013
[7] KeertiNaregal, and AnandGudnavar, “Improved Cluster Routing Protocol for Wireless Sensor Network through Simplification”, 2012 18th Annual International Conference on Advanced Computing and Communications (ADCOM), 2012.
[8] RawyaRizk, Fifi Farouk, Fayez W. Zaki, “Towards Energy Efficiency and Stability in Heterogeneous Wireless Sensor Networks”, Wireless Personal Communications, October 2017, Volume 96, Issue 3, pp 4347–4365.
[9] Manu Elappila, SuchismitaChinara, DayalRamakrushnaParhi, “Survivable Path Routing in WSN for IoT applications”, Pervasive and Mobile Computing (2017).
[10] Sudhir B. Lande, Sushil Z. Kawale, “Energy Efficient Routing Protocol for Wireless Sensor Network” 8th International Conference on Computational Intelligence and Communication Networks 2016.
[11] Prashant Tiwari, Varun Prakash Saxena, Raj Gaurav Mishra and DevendraBhasvar, “Wireless sensor networks: introduction, advantages, Applications and research challenges” International Journal of Technology Innovations and research (IJTIR), vol 14, April 2015. [12] Ivy Wigmore, “Internet of Things”, HTML Text, Retrieved from on 24th December, 2016.

Sensors, IOT, PCF, throughput