Information Centric Sensor Network Management Via Community Structure


Self-organizing dense sensor networks are expected to resolve the challenges of spectral efficiency, energy potency, and device management. This paper explores the use of information dependence among sensors to make a community structure of sensor data, and uses this structure to develop an data-centric processing methodology to attain self-organizing dense sensor networks. Moreover, a information aggregator adopts regularization to easily enhance energy efficiency with uncertain sensor availability. Combining this community structure and these data recovery algorithms, a completely unique self-organizing device management theme is proposed to mitigate the sensor maintenance prices. This approach is justified through simulations and analysis, and is envisioned to possess future application in the Internet of Things.

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