Abstract
A wireless sensor network consists of hundreds or thousands of small nodes which could either have a static or dynamic position. These nodes are deployed through normal or random distribution to report events of a particular area to the base station through sink nodes. Having limited onboard energy of sensor nodes, conservation of energy in wireless sensor network is necessary. For this purpose, a new algorithm is proposed titled Energy-Efficient-Direction-Based-Topology-Control-Algorithm (EEDBTC). In proposed algorithm, direction is the main concern whenever an event occurs the node will send data in the direction of base station so that less energy is consumed. The results of the same were compared with customary dense wireless sensor network, color based WSNs and it was observed that this algorithm is much better than previous topology control algorithms used.
Highlights
Sensors are tiny devices, responsible for substantial happenings or occurrences like humidity, temperature, vibrations, pressure etc. and produce a signal that can be monitored, calculated or transformed to a new type of signal [1]
The results of the same were compared with customary dense wireless sensor network, color based WSNs and it was observed that this algorithm is much better than previous topology control algorithms used
The algorithm is evaluated on ten different locations, selected randomly with respect to energy consumed, time taken, and number of packets sent per unit time
Summary
Responsible for substantial happenings or occurrences like humidity, temperature, vibrations, pressure etc. and produce a signal that can be monitored, calculated or transformed to a new type of signal [1]. A sensor Network composed of three main components, classified as: 1) a sensing subsystem, 2) a processing subsystem and 3) a communication subsystem [2]. To perform all these tasks energy is required which is supplied by the power supply unit. Consumption of energy in the sensing subsystem depends on the type of sensor use. As for as energy is concern, the consumption of energy in processing is high as compare to sensing subsystem so it can be neglected. Data is transferred from sensor nodes to base station using Multi-hop communication system [5] [6].
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