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An Application of Path Sharing To Routing For Mobile Sinks In Wireless Sensor Networks
Abstract
Power Conservation is one of the most important challenges in wireless sensor networks. In this paper, we present a minimum-energy routing algorithm. Our main goal is to reduce power
consumed and prolong the lifespan of the network. The rotocol, named CODEXT: Coordinationbased Data dissemination for Sensor Networks eXTension, addresses the sensor networks
consisting of mobile sinks. CODEXT which is an improvement over CODE protocol Coordination-based Data dissemination for sensor networks considers energy conservation not only in communication but also in idle-to-sleep state. Better informed routing decisions can often be made by sharing information among neighbouring nodes. To this end, we describe the CODEXT protocol, a generic outline for Wireless Sensor Network (WSN) protocols that focuses on locally sharing feedback with little or no overhead. This paper describes one instantiation of it,
CODEXT protocol for optimizing routing to multiple sinks through reinforcement learning. Such a routing situation arises in WSNs with multiple, possibly mobile sinks, such as WSNs with actuators deployed in parallel to sensors. This protocol is based on GAF protocol and grid structure to reduce energy consumed. Our simulation results show that CODEXT gain energy efficiency and prolong the network lifetime.
Keywords: Source, Sink, Coordination-based Data dissemination protocol, WSNs
consumed and prolong the lifespan of the network. The rotocol, named CODEXT: Coordinationbased Data dissemination for Sensor Networks eXTension, addresses the sensor networks
consisting of mobile sinks. CODEXT which is an improvement over CODE protocol Coordination-based Data dissemination for sensor networks considers energy conservation not only in communication but also in idle-to-sleep state. Better informed routing decisions can often be made by sharing information among neighbouring nodes. To this end, we describe the CODEXT protocol, a generic outline for Wireless Sensor Network (WSN) protocols that focuses on locally sharing feedback with little or no overhead. This paper describes one instantiation of it,
CODEXT protocol for optimizing routing to multiple sinks through reinforcement learning. Such a routing situation arises in WSNs with multiple, possibly mobile sinks, such as WSNs with actuators deployed in parallel to sensors. This protocol is based on GAF protocol and grid structure to reduce energy consumed. Our simulation results show that CODEXT gain energy efficiency and prolong the network lifetime.
Keywords: Source, Sink, Coordination-based Data dissemination protocol, WSNs