Performance Analysis of Deterministic Stable Election Protocol Using Fuzzy Logic in Wireless Sensor Network
In Wireless Sensor Network (WSN), the sensor containing motes (nodes) incorporate batteries that can lament at some extent. To upgrade the energy utilization, clustering is one of the prototypical approaches for split sensor motes into a number of clusters where one mote (also called as node) proceeds as a Cluster Head (CH). CH selection is one of the optimization techniques for enlarging stability and network lifespan. Deterministic Stable Election Protocol (DSEP) is an effectual clustering protocol that makes use of three kinds of nodes with dissimilar residual energy for CH election. Fuzzy Logic technology is used to expand energy level of DSEP protocol by using fuzzy inference system. This paper presents protocol DSEP using Fuzzy Logic (DSEP-FL) CH by taking into account four linguistic variables such as energy, concentration, centrality and distance to base station. Simulation results show that our proposed method gives more effective results in term of a lifespan of network and stability as compared to the performance of other clustering protocols.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131393Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 531
 Deepak Goyal, Malay Ranjan Tripathy, “Routing Protocols in Wireless Sensor Networks: A Survey”, Second International Conference on Advanced Computing & Communication Technologies, pp: 474-480, 2012.
 Manju Bala, Lalit Awasthi, “Proficient D-SEP Protocol with Heterogeneity for Maximizing the Lifetime of Wireless Sensor Networks, I.J Intelligent Systems and Applications, pp: 1-15, 2012.
 Abbas Karimi, S. M. Abedini, Faraneh Zarafshan, S.A.R Al-Haddad, “Cluster Head Selection Using Fuzzy Logic and Chaotic Based Genetic Algorithm in Wireless Sensor Network,” Journal of Basic and Applied Scientific Research, Vol. 3, No. 4, pp: 694-703, 2013.
 Baghouri Mostafa, Chakkor Saad and Hajraoui Abderrahmane, “Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks,” Journal of Theoretical and Applied Information Technology, Vol. 53, No. 3, pp:334-339, July 2013.
 Haifeng Jiang, Yanjing Sun, Renke Sun and Hongli Xu, “Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, Vol. 13, No. 3, pp: 1-8, July 2013.
 Raju pal, Ajay K Sharma, “FSEP-E: Enhanced Stable Election Protocol based on Fuzzy Logic for Cluster Head Selection in WSNs,” Sixth International Conference on Contemporary Computing (IC3), pp: 427 – 432, 2013.
 Sachin Gajjar, Mohanchur Sarkar, Kankar Dasgupta, “Cluster Head Selection Protocol using Fuzzy Log,ic for Wireless Sensor Networks,” International Journal of Computer Applications (IEEE), Vol. 97, No. 7, pp:38-43, July 2014.
 Mritunjay Kumar Chourasia, Manish Panchal, Anurag Shrivastav, “Energy Efficient Protocol for Mobile Wireless Sensor Networks”, 2015 International Conference on Communication, Control and Intelligent Systems, IEEE, pp: 80-84, 2015.
 Oussama BEN BELGHITH and Lasaad SBITA, “Extending the Network Lifetime of Wireless Sensor Networks Using Fuzzy Logic,” 12th International Multi-Conference on Systems, Signals & Devices, IEEE, pp: 126-131, 2015.
 Wan Isni Sofiah Wan Din, Saadiah Yahya, Rozita Jailani, Mohd Nasir Taib, Ahmad Ihsan Mohd Yassin and Razulaimi Razali, “Fuzzy Logic for Cluster Head Selection in Wireless Sensor Network”, International Conference on Advanced Science, Engineering and Technology, pp: 1-8, 2015.
 Padmalaya Nayak, Anurag, “A Fuzzy Logic based Clustering Alogrithm for WSN to extend the Network Lifetime,” IEEE Sensors Journal, Vol. 16, No. 1, pp: 137-144, 2016.
 S. A Sahaaya Arul Mary, Jasmine Beulah Gnanadural, “Enhanced Zone Stable Election Protocol based on Fuzzy Logic for Cluster Head Election in Wireless Sensor Networks,” International Journal of Fuzzy Systems, Springer, Vol. 18, No. 2, pp:270-283, April 2016.
 Palkin Sharma, Sonia Goyal, “Prolonging the Network Lifetime using Fuzzy logic in Wireless Sensor Network”, International Journal of Computer Applications, Vol. 145, No.5, pp: 39-42, July 2016.