DocumentCode :
59097
Title :
A Survey on Barrier Coverage Problem in Directional Sensor Networks
Author :
Dan Tao ; Tin-Yu Wu
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Volume :
15
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
876
Lastpage :
885
Abstract :
Barrier coverage guarantees to detect any intruder attempting to cross the barrier of sensor networks. In the majority of studies on barrier coverage using wireless sensor networks, sensors are assumed to have an isotropic sensing model. However, in certain applications like monitoring a region using video cameras, the sensors have directional sensing model. The nature of directional sensor networks demands novel algorithms and solutions. In directional sensor networks, this paper starts from the concept and characteristics of a directional sensing model, and then summarizes the sensing properties and behaviors of directional sensors. In particular, we classify the existing research results into different categories, such as strong barrier and weak barrier, 1-barrier and k-barrier, worst and best-case coverage and exposure path coverage, any-view coverage and full-view coverage, and overview each category in terms of problem definition, assumption, usage, solution, and performance. Finally, the open research problems to be solved and future work are also discussed.
Keywords :
wireless sensor networks; 1-barrier category; any-view coverage category; barrier coverage problem; best-case coverage category; directional sensor network; exposure path coverage category; full-view coverage category; intruder detection; isotropic sensing model; k-barrier category; strong barrier category; video camera; weak barrier category; wireless sensor network; worst-case coverage category; Cameras; Educational institutions; Monitoring; Robot sensing systems; Sensor phenomena and characterization; Wireless sensor networks; Directional sensor networks; barrier coverage; coverage optimization; directional sensing model; directional sensor; field-of-view;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2014.2310180
Filename :
6894117
Link To Document :
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