A Centralized Balance Clustering Routing Protocol for Wireless Sensor Network

Authors:
Jian Chen;Zhen Li;Yong-Hong Kuo
Affiliations:
School of Telecommunications Engineering, Xidian University, Xi'an, China 710071;School of Telecommunications Engineering, Xidian University, Xi'an, China 710071;School of Telecommunications Engineering, Xidian University, Xi'an, China 710071
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

Citing 9
Cited 0

Geography-informed energy conservation for Ad Hoc routing

Proceedings of the 7th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
An Energy-Efficient Clustering Technique for Wireless Sensor Networks

NAS '08 Proceedings of the 2008 International Conference on Networking, Architecture, and Storage
Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks

Proceedings of the Conference on Design, Automation and Test in Europe
Tessellating Cell Shapes for Geographical Clustering

CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Arranging cluster sizes and transmission ranges for wireless sensor networks

Information Sciences: an International Journal
An application-specific protocol architecture for wireless microsensor networks

IEEE Transactions on Wireless Communications
A survey on sensor networks

IEEE Communications Magazine
Energy-Efficient Routing Protocol for Wireless Sensor Networks with Static Clustering and Dynamic Structure

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Routing protocol plays a role of great importance in the performance of wireless sensor networks (WSNs). A centralized balance clustering routing protocol based on location is proposed for WSN with random distribution in this paper. In order to keep clustering balanced through the whole lifetime of the network and adapt to the non-uniform distribution of sensor nodes, we design a systemic algorithm for clustering. First, the algorithm determines the cluster number according to condition of the network, and adjusts the hexagonal clustering results to balance the number of nodes of each cluster. Second, it selects cluster heads in each cluster base on the energy and distribution of nodes, and optimizes the clustering results to minimize energy consumption. Finally, it allocates suitable time slots for transmission to avoid collision. Simulation results demonstrate that the proposed protocol can balance the energy consumption and improve the network throughput and lifetime significantly.