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Growth Codes (GC) enhances the data persistence in dense sensor networks. However, GC exchanges data with neighbors in a completely random way, which may lead to uneven sensor data distribution in sparse sensor network. This significantly reduces the efficiency of GC data acquisition and fault-tolerance in sparse sensor network with less connectivity. In this paper, we propose Regulative Growth Codes...
This paper investigates event localization in wireless sensor networks. We improve the SNAP (Subtract on Negative Add on Positive) localization algorithm and propose the MSNAP (Modified Subtract on Negative Add on Positive) localization algorithm with higher localization accuracy and better performance of fault tolerance. First, every sensor node obverses the event signal and compares its observed...
Wireless Sensor networks (WSN) are prone to cause failures due to the constraining factors of energy, memory and communication capability. This paper describes an efficient faulty detection and recovery mechanism for ZigBee network which is an industrial standard widely adopted for WSN. We propose a localized tree based method for detecting faults due to energy exhaustion of nodes and repair them...
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