GS3: scalable self-configuration and self-healing in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
SASHA: toward a self-healing hybrid sensor network architecture
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
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Since sensor nodes inter-work with one another on Ubiquitous Sensor Networks (USNs) to transfer data to the sink node, the lifetime of each sensor becomes an important factor for determining that of the USN. The users cannot recognize the scattered sensor nodes; thus, any sensor node cannot be recharged or replaced. The lifetime of a sensor node is determined by its battery. Accordingly, the lifetime of the entire communication network is required to increase by decreasing energy usage as much as possible to enable all of the sensor nodes to operate for a long time. Much energy is used in the following process: Initialization process where clusters are built, the normal operations of collecting data and transferring them to the sink node, or while the routing table is updated when an error occurs on a node during normal operation. In order to extend the entire lifetime of the USN, a technology for minimizing energy consumption is required in a variety of areas. In this study, an algorithm is introduced in order to decrease the energy required to update a routing table while recovering a fault from a node.