ECDGA: An Energy-Efficient Cluster-Based Data Gathering Algorithm for Mobile Wireless Sensor Networks

Author

Peng Li ; Xu Jian-bo

Author_Institution

Sch. of Comput. Sci. & Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper, a cluster-based data gathering algorithm ECDGA for mobile wireless sensor networks is proposed. Network model includes mobile nodes and fixed nodes. The former constructs cluster by self-organizing according to the distance between the fixed nodes nearby and themselves. The latter selects cluster head in accordance with the residual energy and location of the mobile nodes around, and bears the task of inter-cluster data transmitting. Cluster head is responsible for data collection and data fusion. The experimental results show that ECDGA algorithm has a good performance in the network lifetime and reliability.

Keywords

mobile radio; routing protocols; sensor fusion; wireless sensor networks; cluster head; data collection; data fusion; energy-efficient cluster-based data gathering algorithm; fixed nodes; intercluster data transmitting; mobile nodes; mobile wireless sensor networks; residual energy; routing protocol; Base stations; Clustering algorithms; Computer science; Costs; Data communication; Data engineering; Energy efficiency; Mobile computing; Routing; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5366773

Filename

5366773