Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Exposure in wireless sensor networks: theory and practical solutions
Wireless Networks
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Coverage by randomly deployed wireless sensor networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Review: Coverage and connectivity issues in wireless sensor networks: A survey
Pervasive and Mobile Computing
Coverage in wireless ad hoc sensor networks
IEEE Transactions on Computers
Physarum optimization: a new heuristic algorithm to minimal exposure problem
Proceedings of the 18th annual international conference on Mobile computing and networking
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As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. However, most existing works about minimal exposure path are based on omnidirectional sensors. In contrast, this paper studies the minimal exposure path problem for directional sensor networks. We first develop a directional sensing model: directional sensitivity model. Then, we formulate the minimal exposure path problem by using two sensing intensity functions: all-sensor intensity function and maximum-sensor intensity function, and generate two weighted grids to convert the minimal exposure path problem into two discrete geometric problems. Based on the above weighted grids, we also develop two approximation algorithms to find the minimal exposure path for the directional sensitive model. We conduct extensive simulations to validate and evaluate our proposed models and algorithms.