Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i30/98703
Year: 2016, Volume: 9, Issue: 30, Pages: 1-7
Original Article
Y. Krupa Bahulya* and K. Raghava Rao
Department of Electronics and Computer Engineering, [email protected]
[email protected]
*Author for correspondence
Krupa Bahulya
Department of Electronics and Computer Engineering,
Email: [email protected]
Background: The advancements in wireless communications made manufacturing of components on a micro scale, which resulted in the evolution of minimal priced, less powered and multiple operative sensor nodes. This made different sensing applications came into existence, which includes battlefield surveillance, environmental conditions and industrial monitoring etc. In wireless sensor network (WSN), sensor nodes often pass the raw data from the network to base station which is often called Sink. It behaves as a gateway in between the WSN and end-user application. Analysis: The energy consumption of the battery is more when the sensor nodes are near to sink when compared to other nodes which are far away. This phenomenon leads the batteries to run out of their energy, further creating communication holes in the network. These holes can impair the desired functionality of a WSN. Methodology: Hence energy utilization of the sensor nodes is the most demanding problem in sensor networks. The minimal energy dissipation methods will help in amplify the network lifespan of a WSN. In order to avoid consuming huge battery power of sensor nodes which are near to sink, an active sink relocation method is introduced. In this article, we came up with a moving sink method called as Energy Aware Multiple Sink Relocation (EAMSR). Findings/Improvements: The proposed mechanism adapts the data which is associated with remaining battery energy of sensor nodes. This will regulate the transmission area of sensor nodes and reroute patterns for the sink. The key performance indicators are compared between single sink relocation and multiple sink relocation. The outcome of compared results illustrates the significant increase in network lifetime of a WSN.
Keywords: Energy Utilization, Time Delay, Multiple Sink Relocation, Maximum Capacity Path, Wireless Sensor Networks
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