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Probabilistic self‐scheduling for coverage configuration in wireless ad‐hoc sensor networks

Probabilistic self‐scheduling for coverage configuration in wireless ad‐hoc sensor networks Purpose – Sensing coverage is a critical issue in sensor network deployments. The paper aims to propose a novel scheme to maintain the sensing coverage in sensor networks, which is termed coverage‐aware self‐scheduling (CASS). Design/methodology/approach – The paper describes a generic unifying framework to incorporate different connectivity and coverage maintenance schemes. Simulations are carried out under the framework by integrating CASS with an existing connectivity maintenance scheme ‐ the low‐energy adaptive clustering hierarchy. Findings – Different from the existing work on coverage maintenance, CASS probabilistically schedules sensing activities according to the sensor's contribution to the sensing coverage of the whole sensor network. CASS reduces the number of active sensors to maintain certain coverage. Besides the sensing coverage, the connectivity of the network topologies is required for the purpose of communicating among sensors to collect sensing data. Simulation results show that CASS can considerably improve the energy efficiency of sensing coverage with low communication and computation overhead. Originality/value – The paper shows that CASS is designed to allow sensors with higher coverage contribution to have more chance to sense. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Pervasive Computing and Communications Emerald Publishing

Probabilistic self‐scheduling for coverage configuration in wireless ad‐hoc sensor networks

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References (20)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1742-7371
DOI
10.1108/17427370810873084
Publisher site
See Article on Publisher Site

Abstract

Purpose – Sensing coverage is a critical issue in sensor network deployments. The paper aims to propose a novel scheme to maintain the sensing coverage in sensor networks, which is termed coverage‐aware self‐scheduling (CASS). Design/methodology/approach – The paper describes a generic unifying framework to incorporate different connectivity and coverage maintenance schemes. Simulations are carried out under the framework by integrating CASS with an existing connectivity maintenance scheme ‐ the low‐energy adaptive clustering hierarchy. Findings – Different from the existing work on coverage maintenance, CASS probabilistically schedules sensing activities according to the sensor's contribution to the sensing coverage of the whole sensor network. CASS reduces the number of active sensors to maintain certain coverage. Besides the sensing coverage, the connectivity of the network topologies is required for the purpose of communicating among sensors to collect sensing data. Simulation results show that CASS can considerably improve the energy efficiency of sensing coverage with low communication and computation overhead. Originality/value – The paper shows that CASS is designed to allow sensors with higher coverage contribution to have more chance to sense.

Journal

International Journal of Pervasive Computing and Communications – Emerald Publishing

Published: Apr 4, 2008

Keywords: Sensors; Radio networks

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