Academic Journals Database
Disseminating quality controlled scientific knowledge

Lifetime Maximization in Wireless Sensor Networks Using Residual Energy Sleep Scheduling

ADD TO MY LIST
 
Author(s): Ronald Rygan. S, PG Scholar,

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 5;
Start page: 2044;
Date: 2013;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: redundancy | sensing coverage | scheduling | remaining energy

ABSTRACT
— Lifetime maximization is a fundamental concern in wireless sensor networks (WSNs) owing to the limited energy of each sensor. Random deployment of sensors in wireless sensor network provides some coverage redundancy problem. There are several methods to avoid such redundancy for extending the overall lifetime of the networks. Wireless sensor nodes are equipped with limited lifetime batteries and redundantly cover the target area. To extend lifetime of the WSN, the objective is to minimize energy consumption while maintaining the full sensing coverage. Residual energy sleep scheduling (RESS) algorithm is a node self-scheduling scheme to decide which sensor nodes have to switch to the sleep state. A low remaining energy node has high priority over its neighbour nodes to enter sleep state. Based on the local neighbourhood knowledge periodically adjust sleep and awake times for sensors based on their relative energy difference. This scheme tries to prolong the sleeping periods of sensors with relatively low energy and compensate for their absence by shortening sleeping periods of sensors with relatively high energy.

Tango Jona
Tangokurs Rapperswil-Jona

     Save time & money - Smart Internet Solutions