Distributed Sensor Task Collaborative Planning Based on HMM and Information Entropy

ZHANG Yao-zhong; YAO Kang-jia; GUO Cao

doi:10.3969/j.issn.1671-637x.2018.12.002

Journals >Electronics Optics & Control >Volume 25 >Issue 12 >Page 5 > Article

Electronics Optics & Control
Vol. 25, Issue 12, 5 (2018)

Distributed Sensor Task Collaborative Planning Based on HMM and Information Entropy

ZHANG Yao-zhong¹, YAO Kang-jia¹, and GUO Cao²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.12.002 Cite this Article

ZHANG Yao-zhong, YAO Kang-jia, GUO Cao. Distributed Sensor Task Collaborative Planning Based on HMM and Information Entropy[J]. Electronics Optics & Control, 2018, 25(12): 5 Copy Citation Text

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References

[1] DAMARLA T.Hidden Markov model as a framework for situational awareness［C］//The 11th International Conference on Information Fusion, 2008: 676-682.

[3] AN W, SINGH S, PATTIPATI K,et al.Dynamic scheduling of multiple hidden Markov model-based sensors［J］.Journal of Advances in Information Fusion, 2008, 3(1): 33-49.

[4] BOUSSEMART Y, FARGEAS J L, CUMMINGS M L, et al.Comparing learning techniques for hidden Markov models of human supervisory control behavior［C］//AIAA Infotech@Aerospace Conference, 2009: 1-13.

[6] PAK C.Near real-time risk assessment using hidden Markov models［D］.Fort Lauderdale: Nova Southeastern University, 2011.

[8] AN W.Hidden Markov model-based formulations of sensor scheduling in dynamic environments［M］.Ann Arbor: ProQuest Dissertations & Theses, 2011.

ZHANG Yao-zhong, YAO Kang-jia, GUO Cao. Distributed Sensor Task Collaborative Planning Based on HMM and Information Entropy[J]. Electronics Optics & Control, 2018, 25(12): 5

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