{"title":"Modified Energy and Link Failure Recovery Routing Algorithm for Wireless Sensor Network","authors":"M. Jayekumar, V. Nagarajan","volume":131,"journal":"International Journal of Electronics and Communication Engineering","pagesStart":1172,"pagesEnd":1179,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10009020","abstract":"
Wireless sensor network finds role in environmental monitoring, industrial applications, surveillance applications, health monitoring and other supervisory applications. Sensing devices form the basic operational unit of the network that is self-battery powered with limited life time. Sensor node spends its limited energy for transmission, reception, routing and sensing information. Frequent energy utilization for the above mentioned process leads to network lifetime degradation. To enhance energy efficiency and network lifetime, we propose a modified energy optimization and node recovery post failure method, Energy-Link Failure Recovery Routing (E-LFRR) algorithm. In our E-LFRR algorithm, two phases namely, Monitored Transmission phase and Replaced Transmission phase are devised to combat worst case link failure conditions. In Monitored Transmission phase, the Actuator Node monitors and identifies suitable nodes for shortest path transmission. The Replaced Transmission phase dispatches the energy draining node at early stage from the active link and replaces it with the new node that has sufficient energy. Simulation results illustrate that this combined methodology reduces overhead, energy consumption, delay and maintains considerable amount of alive nodes thereby enhancing the network performance.<\/p>\r\n","references":"[1]\tAlemdar, A., & Ibnkahla, M, \u201cWireless sensor networks: Applications and challenges\u201d, 2007 9th International Symposium on Signal Processing and Its Applications, 2007.\r\n[2]\tQaisar, S. B., Ali, S., & Felemban, E. A., \u201cWireless Sensor Networks in Next Generation Communication Infrastructure: Vision and Challenges\u201d, International Conference on Computational Science and Its Applications, Springer International Publishing, pp. 790-803, 2014.\r\n[3]\tChakraborty, A., Mitra, S. K., & Naskar, M. 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