Abstract
Today, Wireless Sensor Network (WSN) is a vital technology required in every phase of development. During data aggregation in Wireless Sensor Network (WSN), there may be possibility of various types of failures. Apart from hardware failures, failures may occur due to bad channel conditions and energy drain. Hence a routing tree should be built towards each sink which is fault tolerant. In this study, we propose to develop a fault tolerant tree management technique in which every node selects a path towards the sink effectively and also maintains a backup path simultaneously. This can be achieved by mutual communication between the neighboring nodes in the network. The backup path is selected based on the link quality, residual energy and load metrics. Simulation results show that the proposed technique reduces the delay and overhead and improves packet delivery ratio.
Highlights
Wireless Sensor Network (WSN): Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world
The Distributed Coordination Function (DCF) of IEEE 802.11 is used for wireless LANs as the MAC layer protocol
Simulation setup: Fault Tolerant Tree Management (FTTM) technique is evaluated through NS-2 (Chakraborty et al, 2013) simulation
Summary
Wireless Sensor Network (WSN): Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways (Stankovic, 2006). A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it. The position of sensor nodes need not be engineered or pre-determined (Alobaisat and Braun, 2007). In many WSN applications, the deployment of sensor nodes is performed in an ad hoc fashion without careful planning and engineering. The sensor nodes must be able to autonomously organize themselves into a wireless communication network. Sensor nodes are battery-powered and are expected to operate without attendance for a relatively long period of time (Bhoopathy and Parvathi, 2011)
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