Frog-Based Routing Algorithm to Enhance the Network Lifetime of Wireless Sensor Networks

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Author(s)

Vidya Honguntikar 1,* G. S. Biradar 2

1. VTU-RRC, Belagavi, India

2. Dept. of ECE, PDACEG, Gulbarga, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2017.08.02

Received: 22 Apr. 2017 / Revised: 10 Jun. 2017 / Accepted: 5 Jul. 2017 / Published: 8 Aug. 2017

Index Terms

Wireless Sensor Networks, Network Lifetime, Residual Energy, Routing Protocol

Abstract

Wireless Sensor Networks (WSN) finds wide applications in both Target tracking and Environment monitoring in almost every field, with the demand growing day by day. Routing is considered as the most important challenge in designing a WSN. To enhance the Network Lifetime, there is a need to have a balanced load sharing with equal consumption of Energy by all the nodes in the Network. Several Routing Protocols have been developed that are inspired by the collective behaviour and principles of social insects and animal societies. Inspired by the Frog behaviour, we in this paper propose an Energy efficient distributed Frog-Based Routing (FBR) algorithm for WSN. Routing path is established considering the nodes that have high residual Energy which makes all the nodes die around the same time, prolonging the Network Lifetime. Simulation was carried out using NS2 and the results of FBR algorithm are compared with two other Energy Efficient Routing Protocols LEACH and SPIN for the evaluation of different performance metrics.

Cite This Paper

Vidya Honguntikar, G. S. Biradar, "Frog-Based Routing Algorithm to Enhance the Network Lifetime of Wireless Sensor Networks", International Journal of Computer Network and Information Security(IJCNIS), Vol.9, No.8, pp.9-15, 2017. DOI:10.5815/ijcnis.2017.08.02

Reference

[1]Jennifer Yick, Biswanth Mukherjee, DipakGhosal,” Wireless Sensor network survey”, Computer networks (2008), 52, pp. 2292-2330.
[2]Muhammad Saleem, Gianni A. Di Caro, Mudassar Farooq, “Swarm Intelligence based routing protocol for wireless sensor networks: Survey and future directions”, Elsevier Publications, Information Sciences 181 (2011), 4597- 4624.
[3]Vidya Honguntikar, G. S. Biradar, “Optimization techniques incorporating Evolutionary model n Wireless Sensor Network”, A Survey. IOSR-JCE, E-ISSN: 2278-0661, p-ISSN: 2278-8727, vol.1 6, Issue 5, Sept-oct, 2014, pp 19-24.
[4]Jian Wan, Daomin Yuan, Xianghua Xu, “A Review on Routing Protocols in Wireless Sensor networks”, International journal of enhanced research in science and technology, ISSN: 2319-7463, vol 4, issue 5, 2015, pp: (49-55).
[5]Md. Akhtaruzzaman Adnan, Mohammd Abdur Razzaque, Ishtiaque Ahmed, Ismail Fauzi Is nin,” Bio-mimic Optimization Strategies in Wireless Sensor Networks: A Survey”, Sensors 2014, 14, pp. 299-235.
[6]S. S. Iyengar, Hsiao-Chun Wu., N Balakrishnan, and Shih Chang, “Biologically Inspired Cooperative Routing for Wireless Mobile Sensor Network”, System journal, IEEE, vol 1, issue:1, 2007, pp. 29-37.
[7]Xie Hui, Zhang Zhi-gang, NIE Feng, “A Novel Routing Protocol in Wireless Sensor Networks based on Ant Colony Optimization”, International journal of Intelligent Information Technology Application, 2010, 3(1): 1-5.
[8]Selcuk Okdem and Dervis Karaboga, “Routing in Wireless Sensor Networks using Ant Colony Optimization(ACO) Router Chip”, Sensors ISSN 1424-8220, 13th Feb. 2009, 9, 909-921.
[9]Hongjian Sun, Jing Jiang, Maoliu Lin, Xuezhi Tan, “Queen-Ant-Aware-Based Algorithm for Wireless Sensor Networks Routing”, Proceedings of 2006 IEEE International Conference on Information Acquisition. Aug. 20-23, 2006, Weihai, Shandong, China.
[10]Fatih Celik, Ahmet Zengin and Sinan Tuncel, “A Survey on swarm intelligence based routing protocols in Wireless Sensor Networks”, International journal of Physical Sciences, vol. 5(14), pp. 2118-2126, 4 Nov, 2010.
[11]Ibrahim S. L. Abuhaiba, Huda B. Hubboub, “Swarm Flodding Attack against Directed Diffusion in Wireless Sensor Networks”, International Journal of Computer Network and Information Security, November 2012, 12, 18-30, MECS Publishers.
[12]S. Menaka, Dr. M.K. Jayanthi, “Intelligent Routing using Ant Algorithms for Wireless Ad Hoc Networks”, International Journal of Computer Network and Information Security, August 2013, 10, 51-57, MECS Publishers.
[13]Ming Xu, Guangzhong Liu and Huafeng Wu, “An Energy Efficient Routing Algorithm for Underwater Wireless Sensor Networks Inspired by Ultrasonic Frofs”, International Journal of Distributed Sensor Networks, vol 2014, Article ID 351520, 12 Pages.
[14]Akira Mutazono, Masashi Sugano, Masayuki Murata,” Frog Call-Inspired Self-Organizing Anti-Phase Synchronization for Wireless Sensor Network”, ISAT Transcations on Computers and IntelligentSystems,vol 1, no. 2, pp. 86-93, Dec. 2009.
[15]Vidya Honguntikar, G. S. Biradar, “Anuran Inspired Collision Free Self-Organized Transmission Scheduling in Wireless Sensor Network”,2016 IEEE International conference on Control and Robotics Engineering (ICCRE), 2-4 April 2016, Singapore, added to IEEE Xplore: 23 May 2016, INSPEC Accession No: 16005618, DOI: 10.1109/ICCRE.2016.7476143.
[16]Andrea Megela Simmons, “Call recognition in the bull Frog, Rana Catesbeiana: Generation along the duration continumm”, Journal of the Acoustical society of America, vol 115, issue 3, 1345-1355, 2004.
[17]Heinzelman, Wendi B., Anantha P. Chandrakasan, Hari Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Micro Sensor Networks”, IEEE Transactions on Wireless Communications 1. 2002, No. 4.
[18]W. Heinzelman, J. Kulik, H Balakrishnan, “Adaptive Protocols for Information dissemination in Wireless Sensor Networks”, Proc. 5th ACM/IEEE Mobicom Conference, Seattle, WA, August 1999, 174-185.
[19]P. Raghu Vamsi, Krishna Kant, “An improved Trusted Greedy Perimeter Stateless Routing for Wireless Sensor Networks”, International Journal of Computer Network and Information Security, October 2014, 11, 13-19, MECS Publishers.