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A Distributed Approach Based on Hierarchical Scalar Leader Selection for Enhanced Event Coverage in Wireless Multimedia Sensor Networks

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Distributed Computing and Internet Technology (ICDCIT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10109))

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Abstract

This research addresses a novel distributed algorithm based on determination of scalar leaders for camera sensor activation so as to attain enhanced coverage of the geographic event region under consideration. The selection of scalar leaders is accomplished so that the leaders are organized in a hierarchical pattern with each of the child placed at least at a distance of twice of depth of field of camera nodes. Such distance is chosen so as to avert the possible overlapping among the field of views of cameras. Further, the chosen leaders perform as the agent of scalars that impart the concerned event information to their respective cameras. Experiments have been carried out to test the veracity of our proposed scheme. The least camera actuation, enhanced coverage ratio, least redundancy ratio, lowered energy as well as power expenditure attained from the investigation justify the efficacy of the proposed scheme.

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Acknowledgements

The authors are highly grateful to the Department of Computer Science and Engineering and Information Technology, Veer Surendra Sai University of Technology, Burla, Sambalpur, India for making this investigation successful.

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Correspondence to Suvasini Panigrahi .

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Priyadarshini, S.B.B., Panigrahi, S. (2017). A Distributed Approach Based on Hierarchical Scalar Leader Selection for Enhanced Event Coverage in Wireless Multimedia Sensor Networks. In: Krishnan, P., Radha Krishna, P., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2017. Lecture Notes in Computer Science(), vol 10109. Springer, Cham. https://doi.org/10.1007/978-3-319-50472-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-50472-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50471-1

  • Online ISBN: 978-3-319-50472-8

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