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Energy optimization of energy aware routing protocol and bandwidth assessment for wireless sensor network

Author

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  • Rajeev Arya

    (Indian Institute of Technology)

  • S. C. Sharma

    (Indian Institute of Technology)

Abstract

A collection of small sensor nodes capable of sensing, processing and transmitting data Wireless related to some physical phenomenon is called wireless sensor networks (WSNs). Some severe constraints of sensor nodes are low network bandwidth, short wireless communication range, limited CPU processing capacity, memory storage and energy. The efficient bandwidth utilization and increased lifetime of wireless sensors network are essential for the proliferation of wireless sensor network for various applications. Many research papers have reported to maximize network lifetime, in which wireless link bandwidth has been optimistically assumed to be sufficient. In this paper, we describe the necessary conditions for the use of bandwidth that makes a routing solution feasible, and then link bandwidth estimation and applied ant colony optimization technique to optimize energy. First Part of the paper, Described the performance of the energy aware routing protocol without optimization technique to calculate the energy utilization for the sensor network area and estimate bandwidth. Second part of the paper, an ant colony optimization (ACO) has been applied to optimize energy consumption and compute optimized path bandwidth. Bit error rate has been analyzed to verify network performance. Result shows that energy aware routing protocols with ACO provides more feasible routing solutions and provide significant improvement on the lifetime of the sensor network.

Suggested Citation

  • Rajeev Arya & S. C. Sharma, 2018. "Energy optimization of energy aware routing protocol and bandwidth assessment for wireless sensor network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(3), pages 612-619, June.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0289-3
    DOI: 10.1007/s13198-014-0289-3
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