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Optimal Threshold Coverage Area (OTCA) Algorithm for Random Deployment of Sensor Nodes in Large Asymmetrical Terrain

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Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 906))

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Abstract

Random deployment of sensor nodes cause coverage problems due to unbalanced deployment. This includes both coverage area overlapping among the nodes and coverage holes in the terrain. Actual coverage area computations are partial and unreliable without considering these irregularities. The purpose of this paper is to compute the minimum number of sensor nodes that increase the probability for achieving Optimal Threshold Coverage Area (OTCA) for a given terrain in random deployment strategy. The analytical and simulation results show that OTCA is efficient in calculating the minimum number of sensor nodes required to achieve threshold coverage level for a given terrain.

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Correspondence to Anamika Sharma .

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Sharma, A., Chauhan, S. (2018). Optimal Threshold Coverage Area (OTCA) Algorithm for Random Deployment of Sensor Nodes in Large Asymmetrical Terrain. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_4

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  • DOI: https://doi.org/10.1007/978-981-13-1813-9_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1812-2

  • Online ISBN: 978-981-13-1813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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