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Issue No.10 - Oct. (2011 vol.22)

pp: 1757-1765

Hai Liu , Hong Kong Baptist University, Hong Kong

Xiaowen Chu , Hong Kong Baptist University, Hong Kong

Yiu-Wing Leung , Hong Kong Baptist University, Hong Kong

Xiaohua Jia , City University of Hong Kong, Hong Kong

Peng-Jun Wan , Illinois Institute of Technology, Chicago

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.42

ABSTRACT

We address a new and general maximal lifetime problem in sensor-target surveillance. We assume that each sensor can watch at most k targets (k \ge 1) and each target should be watched by h sensors (h \ge 1) at any time. The problem is to schedule sensors to watch targets and forward the sensed data to a base station such that the lifetime of the surveillance network is maximized. This general problem includes the existing ones as its special cases (k = 1 and h = 1 in [12] and k = 1 and h \ge 2 in [13]). It is also important in practice because some sensors can monitor multiple or all targets within their surveillance ranges and multisensor fusion (i.e., watching a target by multiple sensors) gives better surveillance results. The problem involves several subproblems and one of them is a new matching problem called (k, h)-matching. The (k, h)-matching problem is a generalized version of the classic bipartite matching problem (when k = h = 1, (k, h)-matching becomes bipartite matching). We design an efficient (k, h)-matching algorithm to solve the (k, h)-matching problem and then solve the general maximal lifetime problem. As a byproduct of this study, the (k, h)-matching problem and the proposed (k, h)-matching algorithm can potentially be applied to other problems in computer science and operations research.

INDEX TERMS

Wireless sensor networks, maximal lifetime, scheduling, matching, routing.

CITATION

Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Xiaohua Jia, Peng-Jun Wan, "General Maximal Lifetime Sensor-Target Surveillance Problem and Its Solution",

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