
	Research Journal of Information Technology
	Year: 2011 \| Volume: 3 \| Issue: 2 \| Page No.: 132-139 DOI: 10.17311/rjit.2011.132.139

GRESS: Based on Gradient and Residual Energy of Sleep Scheduling in the Distributed Sensor Networks

Liqun Shan, Yanchang Liu and Wei Wei

Abstract: The most critical issue is how to increase network lifetime and scalability and balance load on sensor nodes in the Wireless Sensor Networks (WSNs). This study presented a new method for data gathering that maximizes lifetime for distributed sensor networks. It involves the following parts. First, nodes organize themselves into several static clusters by a given clustering algorithm. Second, clusters are formed only once but the role of cluster head is optimally scheduled among the cluster members according the gradient and residual energy. A single cluster head is in active state and non cluster head is in sleep or listen state with different sleep period. Third, after cluster-heads are selected, they form a backbone network to periodically collect, aggregate and forward data to the base station. Comparing with non-sleep and synchronous sleep by the MATLAB, significant lifetime extension is obtained with the use of this method.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Wavelet-based Kalman Filter for Traffic Flow Forecasting in Sensornets

•	Dynamic Analysis of Kalman Filter for Traffic Flow Forecasting in Sensornets

•	A Novel Routing Algorithm for Energy Optimization in Wireless Sensor Networks

•	EEGTP: Energy Efficient Graph Theory Protocol for Wireless Sensor Networks

•	Parking Guidance System Utilizing Wireless Sensor Network and Ultrasonic Sensor

•	A Survey on Connected Dominating Set Construction Algorithm for Wireless Sensor Networks

•	Scheduling Adjustment of Mac Protocols on Cross Layer for Sensornets

•	An Energy Equilibrium Routing Algorithm Based on Cluster-head Prediction for Wireless Sensor Networks

How to cite this article:

Liqun Shan, Yanchang Liu and Wei Wei, 2011. GRESS: Based on Gradient and Residual Energy of Sleep Scheduling in the Distributed Sensor Networks. Research Journal of Information Technology, 3: 132-139.

DOI: 10.17311/rjit.2011.132.139

URL: https://scialert.net/abstract/?doi=rjit.2011.132.139

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Science Alert