DocumentCode :
2894280
Title :
An Energy Balancing LEACH Algorithm for Wireless Sensor Networks
Author :
Gou, Haosong ; Yoo, Younghwan
Author_Institution :
Sch. of Comput. Sci. & Eng., Pusan Nat´´l Univ., Busan, South Korea
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
822
Lastpage :
827
Abstract :
Wireless sensor networks (WSNs) have been considered as a promising method for reliably monitoring both civil and military environments under hazardous or dangerous conditions. Due to such environments, the power supplies for sensors in the network are not usually rechargeable or replaceable. Therefore, the energy efficiency is critical for the lifetime and cost of WSN. Numerous mechanisms have been proposed to reduce the impact of communication protocols on the overall energy dissipation of WSN. The low-energy adaptive clustering hierarchy (LEACH) and another improved centralized LEACH deploy randomized rotation of cluster-heads to evenly distribute the energy load among all sensors in a WSN. This paper proposes an improved LEACH (LEACH-C) algorithm called partition-based LEACH (pLEACH), which firstly partitions the network into optimal number of sectors, and then selects the node with the highest energy as the head for each sector, using the centralized calculations. The simulation results and analysis show that pLEACH could achieve much better performance of WSN in terms of the energy dissipation, network lifetime and quality of communication.
Keywords :
pattern clustering; protocols; wireless sensor networks; communication protocols; energy balancing LEACH algorithm; low-energy adaptive clustering hierarchy; network lifetime; overall energy dissipation; quality of communication; wireless sensor networks; Analytical models; Clustering algorithms; Condition monitoring; Costs; Energy dissipation; Energy efficiency; Partitioning algorithms; Power supplies; Protocols; Wireless sensor networks; LEACH; LEACH-C; WSNs; pLEACH; partition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
Type :
conf
DOI :
10.1109/ITNG.2010.12
Filename :
5501628
Link To Document :
بازگشت