Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Background/Objectives: The Particle Swarm Optimization (PSO) uses the sleeping mechanism that provided energy optimization in Wireless Sensor Networks (WSN), but failed to provide better energy efficiency. Methods/Analysis: This paper proposes an Artificial Bee Colony (ABC) Algorithm, to improve the energy efficiency of WSN by proper Cluster Head (CH) selection. The proposed algorithm helps to form a cluster in a network, in which the nodes are randomly deployed. Findings: The selection of CHs is based on the energy of each node which is communicated using ABC algorithm. The energy and time involved in the CH search mechanism are much minimal than the time and energy consumed by PSO algorithm. Thus, the overall network lifetime is enhanced by generating more alive nodes. Novelty/Improvement: The performance of the proposed system is validated in terms of Packet delay Ratio (PDR), Throughput and the lifetime of the WSN.

Keywords

Artificial Bee Colony (ABC) Algorithm, Cluster Head Selection, Packet Delay Ratio (PDR), Throughput, Improved Lifetime, Wireless Sensor Networks (WSN).
User