JOURNAL ARTICLE

Energy efficient and congestion aware routing algorithms for Wireless Sensor Networks connected as Hypercube

Abstract

Wireless Sensor Networks (WSN) have been noticed and researched nowadays. These new type of networks have unique characteristics. WSNs have different limitations such as computational power, storage capacity, energy source and etc. The main constraint of wireless sensor networks is energy. The energy source of sensor nodes is limited and not rechargeable. Therefore, optimizing consumption of energy is essential for WSNs protocols. Hypercube topology is very popular in distributed environments. In last few years, many different topology specific routing algorithms have been designed for wireless sensor networks, but to the best of our knowledge, none of them consider hypercube as their topology. In this paper, different routing algorithms are proposed for WSN with hypercube topology. The performance of all proposed routing algorithms is evaluated, and the best algorithm which can provide more fairness is introduced. Simulation results which are represented in last section of this paper are the base of our conclusions. The main goal of this paper is to find a fair energy aware routing algorithm for wireless sensor network connected as hypercube.

Keywords:
Computer science Wireless sensor network Hypercube Distributed computing Computer network Dynamic Source Routing Geographic routing Topology (electrical circuits) Key distribution in wireless sensor networks Routing (electronic design automation) Algorithm Static routing Network topology Link-state routing protocol Routing protocol Wireless Wireless network Engineering Parallel computing Telecommunications Electrical engineering

Metrics

3
Cited By
0.32
FWCI (Field Weighted Citation Impact)
21
Refs
0.69
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
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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