Smart Fence: Decentralized Sequential Hypothesis Testing for Perimeter Security

Chraim, Fabien; Pister, Kristofer S. J.

doi:10.1007/978-3-319-04166-7_5

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…For example, the wireless valve positioning solution presented in [15], could be augmented with a gas leak sensor, as both of these problems are often linked. Furthermore, a wireless perimeter security solution [16] could also assist in detecting and localizing plant leaks as soon as suspicious concentrations leave the enclave of the plant. In the remainder of the paper, we consider the leak detection solution as a stand-alone system.…”

Section: A Wireless Distributed Sensing Approachmentioning

confidence: 99%

Wireless Gas Leak Detection and Localization

Chraim

Erol

Pister

2016

IEEE Trans. Ind. Inf.

Self Cite

112

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Thousands of industrial gas leaks occur every year, with many leading to injuries, deaths, equipment damage, and a disastrous environmental effect. There have been many attempts at solving this problem, but with limited success. This paper proposes a wireless gas leak detection and localization solution.With a monitoring network of 20 wireless devices covering 200m 2 , 60 propane releases are performed. The detection and localization algorithms proposed here are applied to the collected concentration data, and the methodology is evaluated. A detection rate of 91% is achieved, with seven false alarms recorded over three days, and an average detection delay of 108 seconds. The localization results show an accuracy of 5 meters. Recommendations for future explosive gas sensor design are then presented.

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Section: A Wireless Distributed Sensing Approachmentioning

confidence: 99%

Wireless Gas Leak Detection and Localization

Chraim

Erol

Pister

2016

IEEE Trans. Ind. Inf.

Self Cite

112

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“…Zhang et al [17] developed a latency-optimal link scheduling policy and established performance bounds for the WirelessHART standard. Chraim et al [4] studied the decentralized sequential hypothesis testing problems for the WirelessHART networks at the theoretical level. Franchino et al [6] proposed a realtime energy-aware MAC layer protocol.…”

Section: Related Workmentioning

confidence: 99%

Implementation and Experimentation of Industrial Wireless Sensor-Actuator Network Protocols

Sha

Gunatilaka

et al. 2015

Lecture Notes in Computer Science

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Abstract. Wireless sensor-actuator networks (WSANs) offer an appealing communication technology for process automation applications. However, such networks pose unique challenges due to their critical demands on reliability and real-time performance. While industrial WSANs have received attention in the research community, most published results to date focused on the theoretical aspects and were evaluated based on simulations. There is a critical need for experimental research on this important class of WSANs. We developed an experimental testbed by implementing several key network protocols of WirelessHART, an open standard for WSANs widely adopted in the process industries, including multi-channel TDMA with shared slots at the MAC layer and reliable graph routing supporting path redundancy. We then performed a comparative study of the two alternative routing approaches adopted by WirelessHART, namely source routing and graph routing. Our study shows that graph routing leads to significant improvement over source routing in term of worst-case reliability, at the cost of longer latency and higher energy consumption. It is therefore important to employ graph routing algorithms specifically designed to optimize latency and energy efficiency.

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Smart Fence: Decentralized Sequential Hypothesis Testing for Perimeter Security

Cited by 2 publications

References 7 publications

Wireless Gas Leak Detection and Localization

Wireless Gas Leak Detection and Localization

Implementation and Experimentation of Industrial Wireless Sensor-Actuator Network Protocols

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