Improved Cluster Heads Selection Method in Wireless Sensor Networks

Authors:
Yaqiong Wang;Qi Wang;Ziyu Jin;Navrati Saxena
Affiliations:
-;-;-;-
Venue:
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Year:
2010

Citing 9
Cited 0

STING: A Statistical Information Grid Approach to Spatial Data Mining

VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Guest Editors' Introduction: Overview of Sensor Networks

Computer
Ubiquitous access to distributed data in large-scale sensor networks through decentralized erasure codes

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Optimal Structure Analysis for Ubiquitous Access of Mobile Collectors in Clustered Sensor Networks

ICCSN '09 Proceedings of the 2009 International Conference on Communication Software and Networks
A Grid and Density Based Fast Spatial Clustering Algorithm

AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 04
A Novel Energy Efficient Routing Algorithm for Hierarchically Clustered Wireless Sensor Networks

FCST '09 Proceedings of the 2009 Fourth International Conference on Frontier of Computer Science and Technology
An unequal cluster-based routing protocol in wireless sensor networks

Wireless Networks
A density and distance based cluster head selection algorithm in sensor networks

ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Prediction-based clustering algorithm for mobile wireless sensor networks

ICACT'10 Proceedings of the 12th international conference on Advanced communication technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems node's energy, which is the main factor, is used to select cluster-heads. In this paper, we gave a new method called LEACH-improve, discussed the relation between the energy, the cluster and coverage together. And we compared the simulation result with the LEACH and HYENAS methods. This mode could serve a better solution scheme for solving cluster-heads selection problem in sensor network.