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SIVP
2010

Self-organization of sensor networks for detection of pervasive faults

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Self-organization of sensor networks for detection of pervasive faults
Resource aware operation of sensor networks requires adaptive re-organization to dynamically adapt to the operational environment. A complex dynamical system of interacting components (e.g., computer network and social network) is represented as a graph, component states as spins, and interactions as ferromagnetic couplings. Using an Isinglike model, the sensor network is shown to adaptively self-organize based on partial observation, and real-time monitoring and detection is enabled by adaptive redistribution of limited resources. The algorithm is validated on a test-bed that simulates the operations of a sensor network for detection of percolating faults (e.g. computer viruses, infectious disease, chemical weapons, and pollution) in an interacting multi-component complex system. Keywords Sensor network · Graph theory · Ising model · Pervasive faults
Abhishek Srivastav, Asok Ray
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Where SIVP
Authors Abhishek Srivastav, Asok Ray
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