Research on Ad Hoc network clustering algorithm based on signal strength

Author

Li, Dao-Quan ; Cao, Qi-Guang ; Xue, Wei-Hua ; Wang, Huai-Cai

Author_Institution

Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

719

Lastpage

722

Abstract

This paper presents a new adaptive On-demand Weighting Algorithm based on weight, adaptive On-demand Weighting Algorithm based on signal strength (SAOW). The algorithm applied the signal strength into the clustering process, each node has four weights, the sum of signal strength weight, stability weight, information quantity weight and battery energy weight, meanwhile the cluster structure is improved using signal intensity. Finally, the performance test for SAOW algorithm is given using the simulation environment of NS2. It shows that SAOW has a better stability in AD hoc network comparing with AOW algorithm.

Keywords

ad hoc networks; pattern clustering; ad hoc network clustering algorithm; adaptive Weighting Algorithm; information quantity; signal strength; stability weight; Adaptation model; Atmospheric measurements; Clustering algorithms; Particle measurements; AD Hoc network; amount of information; clustering algorithm; signal strength weights; stability weights;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658503

Filename

5658503