Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks

Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks

Aiming at the “hotspots” problem in energy heterogeneous wireless sensor networks, a routing algorithm of heterogeneous sensor network with multilevel energies based on uneven clustering is proposed. In this algorithm, the energy heterogeneity of the nodes is fully reflected in the mechanism of clus...

Full description

Bibliographic Details
Main Authors: Ying Zhang, Wei Xiong, Dezhi Han, Wei Chen, Jun Wang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2016/7542907
id doaj-b1b2eade64644b9bb7d56fd31f6e1bd9
record_format Article
spelling doaj-b1b2eade64644b9bb7d56fd31f6e1bd92020-11-24T20:57:53ZengHindawi LimitedJournal of Sensors1687-725X1687-72682016-01-01201610.1155/2016/75429077542907Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor NetworksYing Zhang0Wei Xiong1Dezhi Han2Wei Chen3Jun Wang4College of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaCollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaDepartment of Computer Science, Tennessee State University, Nashville, TN 37209, USACollege of Information Engineering, Shanghai Maritime University, Shanghai 201306, ChinaAiming at the “hotspots” problem in energy heterogeneous wireless sensor networks, a routing algorithm of heterogeneous sensor network with multilevel energies based on uneven clustering is proposed. In this algorithm, the energy heterogeneity of the nodes is fully reflected in the mechanism of cluster-heads’ election. It optimizes the competition radius of the cluster-heads according to the residual energy of the nodes. This kind of uneven clustering prolongs the lifetime of the cluster-heads with lower residual energies or near the sink nodes. In data transmission stage, the hybrid multihop transmission mode is adopted, and the next-hop routing election fully takes account of the factors of residual energies and the distances among the nodes. The simulation results show that the introduction of an uneven clustering mechanism and the optimization of competition radius of the cluster-heads significantly prolonged the lifetime of the network and improved the efficiency of data transmission.http://dx.doi.org/10.1155/2016/7542907
collection DOAJ
language English
format Article
sources DOAJ
author Ying Zhang
Wei Xiong
Dezhi Han
Wei Chen
Jun Wang
spellingShingle Ying Zhang
Wei Xiong
Dezhi Han
Wei Chen
Jun Wang
Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
Journal of Sensors
author_facet Ying Zhang
Wei Xiong
Dezhi Han
Wei Chen
Jun Wang
author_sort Ying Zhang
title Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
title_short Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
title_full Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
title_fullStr Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
title_full_unstemmed Routing Algorithm with Uneven Clustering for Energy Heterogeneous Wireless Sensor Networks
title_sort routing algorithm with uneven clustering for energy heterogeneous wireless sensor networks
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2016-01-01
description Aiming at the “hotspots” problem in energy heterogeneous wireless sensor networks, a routing algorithm of heterogeneous sensor network with multilevel energies based on uneven clustering is proposed. In this algorithm, the energy heterogeneity of the nodes is fully reflected in the mechanism of cluster-heads’ election. It optimizes the competition radius of the cluster-heads according to the residual energy of the nodes. This kind of uneven clustering prolongs the lifetime of the cluster-heads with lower residual energies or near the sink nodes. In data transmission stage, the hybrid multihop transmission mode is adopted, and the next-hop routing election fully takes account of the factors of residual energies and the distances among the nodes. The simulation results show that the introduction of an uneven clustering mechanism and the optimization of competition radius of the cluster-heads significantly prolonged the lifetime of the network and improved the efficiency of data transmission.
url http://dx.doi.org/10.1155/2016/7542907
work_keys_str_mv AT yingzhang routingalgorithmwithunevenclusteringforenergyheterogeneouswirelesssensornetworks
AT weixiong routingalgorithmwithunevenclusteringforenergyheterogeneouswirelesssensornetworks
AT dezhihan routingalgorithmwithunevenclusteringforenergyheterogeneouswirelesssensornetworks
AT weichen routingalgorithmwithunevenclusteringforenergyheterogeneouswirelesssensornetworks
AT junwang routingalgorithmwithunevenclusteringforenergyheterogeneouswirelesssensornetworks
_version_ 1716787328380305408

Similar Items