DocumentCode
3448824
Title
The Improvement Algorithm of Cluster Head Election Based on LEACH
Author
Li Hui ; Jiang Hongtao ; Li Hua
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2013
fDate
1-3 Nov. 2013
Firstpage
95
Lastpage
98
Abstract
In view of the wireless sensor network routing LEACH protocol ignored the election of cluster head nodes energy, node density and relative information of base station location, proposes a improved clustering routing algorithm based on energy, density and location information of Sink. Introduces the residual energy and density factors in the threshold formula, makes the cluster heads for the entire network distribution more reasonable, more balanced energy. After the cluster is established, introducing the concept of cooperative communication. In data transmission phase, data is transmitted by the assistant cluster head elected. By using OMNeT++ simulation platform, compared with classical LEACH protocol and the improved LEACH protocol, the simulation results show that the improved algorithm can effectively reduce energy consumption, increase the lifetime of the whole networks.
Keywords
cooperative communication; data communication; energy consumption; pattern clustering; routing protocols; telecommunication power management; wireless sensor networks; OMNeT++ simulation platform; base station; cluster head election; cluster head nodes; clustering routing algorithm; cooperative communication; data transmission phase; energy consumption reduction; node density; residual density factor; residual energy factor; wireless sensor network routing LEACH protocol; Base stations; Clustering algorithms; Educational institutions; Energy consumption; Nominations and elections; Protocols; Wireless sensor networks; Density; LEACH; Location information; OMNeT++; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4799-2808-8
Type
conf
DOI
10.1109/ICINIS.2013.31
Filename
6754680
Link To Document