DocumentCode :
170475
Title :
A generalized coverage-preserving scheduling in WSNs: A case study in structural health monitoring
Author :
Xuefeng Liu ; Jiannong Cao ; Shaojie Tang ; Peng Guo
Author_Institution :
Dept. of Comp., Hong Kong PolyU, Hong Kong, China
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
718
Lastpage :
726
Abstract :
Wireless sensor networks (WSNs) are generally used to monitor, in an area, certain phenomena which can be events or targets that users are interested. To extend the system lifetime, a widely used technique is `Energy-Efficient Coverage-Preserving Scheduling(EECPS)´, in which at any time, only part of the nodes are activated to fulfill the function. To determine which nodes should be activated at a certain time is the key for the EECPS and this problem has been studied extensively. Existing solutions are based on the assumption that each node has a fixed coverage area, and once the event/target occurs in this area, it can be detected by this sensor. However, this coverage model is not always valid. In some applications such as structural health monitoring (SHM) and volcano monitoring, to fulfill a required function always requires low level collaboration from multiple sensors. The coverage area for individual sensor node therefore cannot be defined explicitly since single sensor is not able to fulfill the function alone, even it is close to the event or target to be monitored. In this paper, using an example of SHM, we illustrate how to support EECPS in some special applications of WSNs. We re-define the `coverage´ and based on the new coverage model, two methods are proposed to partition the deployed sensor nodes into qualified cover sets such that the system lifetime can be maximized by letting these sets work by turns. The performance of the methods is demonstrated through extensive simulation and experiment.
Keywords :
condition monitoring; structural engineering; telecommunication power management; wireless sensor networks; EECPS; SHM; WSN; generalized coverage-preserving scheduling; multiple sensors; sensor nodes deployment; structural health monitoring; volcano monitoring; wireless sensor networks; Computers; Conferences; Genetic algorithms; Monitoring; Shape; Time-frequency analysis; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6847998
Filename :
6847998
Link To Document :
بازگشت