JOURNAL ARTICLE

Bio inspired distributed energy efficient clustering for Wireless Sensor Networks

Abstract

Design and development of adaptive, scalable and energy-efficient routing protocols for Wireless Sensor Networks (WSNs) is an active area of research. Many protocols and techniques have been proposed and implemented for energy efficient routing. In this research work, we present Bio inspired Distributed Energy Efficient Clustering (B-DEEC) protocol for WSNs. It is based upon Artificial Bee Colony (ABC) algorithm which increases both lifetime and throughput of network. ABC algorithm that involves inspiration from foraging principle of honey bees, has been effectively utilized in our technique. Keeping multiple food sources, a characteristic of ABC, is incorporated to enhance network lifetime and reliability of our scheme. Waggle dance, for multiple interactions and information sharing, is utilized to optimize the Cluster Head (CH) selection. Simulation results justify our aforementioned arguments.

Keywords:
Computer science Wireless sensor network Scalability Cluster analysis Distributed computing Routing protocol Computer network Reliability (semiconductor) Efficient energy use Routing (electronic design automation) Throughput Wireless Engineering Artificial intelligence

Metrics

9
Cited By
1.33
FWCI (Field Weighted Citation Impact)
16
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Molecular Communication and Nanonetworks
Physical Sciences →  Engineering →  Biomedical Engineering
Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering
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