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Open AccessArticle

A Novel Energy-Efficient Multi-Sensor Fusion Wake-Up Control Strategy Based on a Biomimetic Infectious-Immune Mechanism for Target Tracking

1
School of Automation & MOE Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi’an 710072, China
2
MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi’an 710072, China
3
School of Automation, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(4), 1255; https://doi.org/10.3390/s18041255
Received: 15 March 2018 / Revised: 10 April 2018 / Accepted: 11 April 2018 / Published: 18 April 2018
(This article belongs to the Special Issue Smart Communication Protocols and Algorithms for Sensor Networks)
A biomimetic distributed infection-immunity model (BDIIM), inspired by the immune mechanism of an infected organism, is proposed in order to achieve a high-efficiency wake-up control strategy based on multi-sensor fusion for target tracking. The resultant BDIIM consists of six sub-processes reflecting the infection-immunity mechanism: occurrence probabilities of direct-infection (DI) and cross-infection (CI), immunity/immune-deficiency of DI and CI, pathogen amount of DI and CI, immune cell production, immune memory, and pathogen accumulation under immunity state. Furthermore, a corresponding relationship between the BDIIM and sensor wake-up control is established to form the collaborative wake-up method. Finally, joint surveillance and target tracking are formulated in the simulation, in which we show that the energy cost and position tracking error are reduced to 50.8% and 78.9%, respectively. Effectiveness of the proposed BDIIM algorithm is shown, and this model is expected to have a significant role in guiding the performance improvement of multi-sensor networks. View Full-Text
Keywords: immune mechanism; infectious disease; energy efficiency; wake-up strategy; multi-sensor fusion immune mechanism; infectious disease; energy efficiency; wake-up strategy; multi-sensor fusion
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MDPI and ACS Style

Zhou, J.; Liang, Y.; Shen, Q.; Feng, X.; Pan, Q. A Novel Energy-Efficient Multi-Sensor Fusion Wake-Up Control Strategy Based on a Biomimetic Infectious-Immune Mechanism for Target Tracking. Sensors 2018, 18, 1255. https://doi.org/10.3390/s18041255

AMA Style

Zhou J, Liang Y, Shen Q, Feng X, Pan Q. A Novel Energy-Efficient Multi-Sensor Fusion Wake-Up Control Strategy Based on a Biomimetic Infectious-Immune Mechanism for Target Tracking. Sensors. 2018; 18(4):1255. https://doi.org/10.3390/s18041255

Chicago/Turabian Style

Zhou, Jie; Liang, Yan; Shen, Qiang; Feng, Xiaoxue; Pan, Quan. 2018. "A Novel Energy-Efficient Multi-Sensor Fusion Wake-Up Control Strategy Based on a Biomimetic Infectious-Immune Mechanism for Target Tracking" Sensors 18, no. 4: 1255. https://doi.org/10.3390/s18041255

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