NDLI: A location-free Prediction-based Sleep Scheduling protocol for object tracking in sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jue Hong Jiannong Cao Yingpei Zeng Sanglu Lu Daoxu Chen Zhuo Li
Copyright Year	2009
Description	Author affiliation: State Key Laboratory for Novel Software Technology, Nanjing Univ., China (Jue Hong; Yingpei Zeng; Sanglu Lu; Daoxu Chen; Zhuo Li) \|\| Department of Computing, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, China (Jiannong Cao)
Abstract	Sleep scheduling protocols are widely used in wireless sensor networks for saving energy in sensor nodes. However, without considering the special requirements of object tracking, conventional sleep scheduling protocols may lead to intolerable degradation of tracking qualities when they are used in object tracking applications. To handle this problem, sleep scheduling protocols tailed for object tracking have been proposed recently. For saving energy while maintaining satisfactory tracking qualities, these protocols pro-actively awaken sensors according to the prediction of objects' movement. Such sleep scheduling protocols are called the prediction-based sleep scheduling protocols. Most existing prediction-based sleep scheduling protocols require sensor nodes to know the locations of themselves, which may not always be available. In this paper we propose a Location-free Prediction-based Sleep Scheduling protocol (LPSS) for object tracking in sensor networks. LPSS guarantees the coverage level, an important tracking quality in most applications, which is defined as the number of sensors simultaneously detecting the object. In LPSS, when a sensor detects the object, it will emit a signal, namely the sensing stimulus. Sensors decide to wake up or not based on only the received sensing stimulus, the prediction models and the required coverage level, without the requirement of location information. We implement LPSS with two most popular prediction models: the Circle-based and the Probability-based prediction models. Experiment results show that LPSS not only provides qualified coverage levels, but also saves about 40% to 70% energy compared with existing location-free protocols. Moreover, the energy cost of LPSS is close to the ideal approach using accurate location information in terms of the number of awakened nodes.
Starting Page	63
Ending Page	72
File Size	736359
Page Count	10
File Format	PDF
ISBN	9781424446353
ISSN	10921648
DOI	10.1109/ICNP.2009.5339696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep Object detection Predictive models Wireless sensor networks Processor scheduling Wireless application protocol Degradation Costs Delay RF signals
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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