NDLI: Predictive Target Detection and Sleep Scheduling for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Jae Hyun Yoo Kim, H.J.
Copyright Year	2013
Description	Author affiliation: Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea (Jae Hyun Yoo; Kim, H.J.) In tracking a mobile target using wireless sensor networks (WSN), efficient sleep scheduling is needed to reduce energy consumption without severely deteriorating the tracking performance. Conventional prediction-based sleep scheduling techniques require position, velocity and even acceleration of the target in order to wake up the nodes according to the next predicted location of the target. In these data, effects of sensor faults and uncertainties are included, which can degrade the overall performance. In order to address this issue, we propose a new predictive target detection algorithm which uses only local measurement, eliminating the need for communication among nodes. The proposed prediction algorithm provides a prediction of the number of detections that will occur starting from the moment when a target enters the sensor coverage area until it leaves. This algorithm is evaluated via experiments including several movement scenarios of the target. The results show that the algorithm accurately reflects the remaining number of target detections until the target leaves. In addition, the prediction algorithm is applied to sleep scheduling and compared with the circle-based sleep scheduling. Our scheduling strategy improves energy efficiency with a very small, negligible loss in the tracking performance.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	362
Ending Page	367
File Size	402581
Page Count	6
File Format	PDF
ISBN	9781479906529
DOI	10.1109/SMC.2013.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-13
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Turning Object detection Robot sensing systems Target tracking Scheduling Prediction algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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