Energy Emphasis Fault Tolerance Routing Scheme for Wireless Sensor Network

In wireless sensor networks (WSN), fault tolerance is one of the major challenges of deploying energy efficient WSN. In WSN fault can occur mainly due to two reasons link failures and node failures. In this paper, we propose a new 'œEnergy Emphasis fault tolerance routing scheme (EFTR) for wireless sensor networks', in which we have reduced the problems of Distributed Multipath Fault Tolerance Routing Scheme (DFTR) and restructured the technique for fault tolerance. In our new scheme, we divide the whole WSN into clusters of efficient size using some parameters and for each cluster choose one cluster head. Then we propose two different fault tolerance routing schemes, one is intra fault tolerance routing within a cluster, between the source and cluster head and the second is inter fault tolerance routing between the different cluster heads to base station. These two fault tolerance routing will overcome the link failures and nodes failures problems efficiently within clusters and between the cluster heads to base station and reduce the energy consumption due to these faults. We also compare the performance of this new scheme with common fault tolerance scheme Distributed Multipath Fault Tolerance Routing and show its effectiveness through simulation. Categories and Subject Descriptors C.2.1 [Network Architecture and Design]: Network communications, Network Topology, Wireless communication C.2.2 [Network Protocols]: Routing protocols General Terms Algorithms, Design, Measurement, Performance, Reliability, Experimentation. Nainesh Belapurkar | Dr. Manmohan Singh"Energy Emphasis Fault Tolerance Routing Scheme for Wireless Sensor Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11017.pdf http://www.ijtsrd.com/engineering/information-technology/11017/energy-emphasis-fault-tolerance-routing-scheme-for-wireless-sensor-network/nainesh-belapurkar