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Multi-covered path in wireless sensor networks

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Abstract

The progress of development on sensor networks has inspired many new applications. Some of these applications require the target to be observed by more than one sensors simultaneously. Sensor coverage, which reflects how well a sensor network is monitored by sensors, is an important measure for the quality of service (QoS) that a sensor network can provide. In this paper, we addressed the coverage problem from two different view points and referred to them as the worst-case and best-case coverage problems. Most existing works on these two problems assumed that the coverage degree is one (i.e. the target area falls within the sensing range of at least one sensor). In this paper, we address the k-coverage problem, where the coverage degree is a user-defined parameter k. This is a generalization of the earlier work where only k=1 is assumed. By combining geometric and algorithmic techniques, we establish optimal algorithms to solve the two variants of the k-coverage problem in polynomial time. An important extension of our study on the k-coverage problem was also proposed: the distributed algorithm for the problem. This helps in applying the proposed algorithm under more practical scenarios.

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Author information

Authors and Affiliations

  1. School of Computer and Information Science, Southwestern University, Chongqing, China

    Can Fang

  2. School of Computer Science, Northwestern Polytechnical University, Xian, China

    Peng Zhang

  3. School of Information Engineering, Nanchang University, Nanchang, China

    Wei Huang

  4. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China

    Cheng Fu

Authors
  1. Can Fang
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  2. Peng Zhang
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  3. Wei Huang
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  4. Cheng Fu
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Corresponding authors

Correspondence to Peng Zhang or Wei Huang.

Additional information

This project is supported by the Fundamental Research Funds for the Central Universities XDJK2013C007.

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Fang, C., Zhang, P., Huang, W. et al. Multi-covered path in wireless sensor networks. Telecommun Syst 54, 19–33 (2013). https://doi.org/10.1007/s11235-013-9713-2

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