Energy-efficient communication protocol for wireless microsensor networks

Energy-efficient communication protocol for wireless microsensor networks (2000)

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by Wendi Rabiner Heinzelman , Anantha Ch , Hari Balakrishnan

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Datum	Value	Source
TITLE	Energy-efficient communication protocol for wireless microsensor networks	INFERENCE
AUTHOR NAME	Wendi Rabiner Heinzelman	SVM HeaderParse 0.2
AUTHOR AFFIL	Massachusetts Institute of Technology	SVM HeaderParse 0.2
AUTHOR ADDR	Cambridge, MA 02139	SVM HeaderParse 0.2
AUTHOR NAME	Anantha Ch	SVM HeaderParse 0.2
AUTHOR AFFIL	Massachusetts Institute of Technology	SVM HeaderParse 0.2
AUTHOR ADDR	Cambridge, MA 02139	SVM HeaderParse 0.2
AUTHOR NAME	Hari Balakrishnan	SVM HeaderParse 0.2
AUTHOR AFFIL	Massachusetts Institute of Technology	SVM HeaderParse 0.2
AUTHOR ADDR	Cambridge, MA 02139	SVM HeaderParse 0.2
ABSTRACT	Wireless distributed microsensor systems will enable the reliable monitoring of a variety of environments for both civil and military applications. In this paper, we look at communication protocols, which can have significant impact on the overall energy dissipation of these networks. Based on our findings that the conventional protocols of direct transmission, minimum-transmission-energy, multihop routing, and static clustering may not be optimal for sensor networks, we propose LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster base stations (cluster-heads) to evenly distribute the energy load among the sensors in the network. LEACH uses localized coordination to enable scalability and robustness for dynamic networks, and incorporates data fusion into the routing protocol to reduce the amount of information that must be transmitted to the base station. Simulations show that LEACH can achieve as much as a factor of 8 reduction in energy dissipation compared with conventional routing protocols. In addition, LEACH is able to distribute energy dissipation evenly throughout the sensors, doubling the useful system lifetime for the networks we simulated. 1.	SVM HeaderParse 0.2
YEAR	2000	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	3005--3014	INFERENCE
CITATIONS	17 found	ParsCit 1.0