无线传感器网络协同缓存分布式能量感知路由(DEAR)协议的性能研究

Piyush Charan, T. Usmani, Rajeev Paulus, S. Saeed
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引用次数: 3

摘要

考虑到当今无线传感器网络(wsn)的情况,发送和接收不间断的传感器数据仍然是实现最小延迟和尽可能低能耗的挑战。在计算机、嵌入式系统、便携式设备和无线传感器网络等计算设备中,能源消耗呈指数级增长。在不影响服务质量(QoS)的情况下最小化能耗,即以最小延迟和高可靠性向请求方节点提供数据,这方面的广泛研究已经在实践中得到了应用。本文采用分布式能量感知路由(DEAR)协议的协同缓存算法,该协议试图通过减少网络中的数据包开销来最小化能耗,并通过从请求者或接收节点附近可用的缓存节点检索请求的数据,以最小的延迟向请求者提供数据。仿真结果清楚地表明,在保持必要属性不变的情况下,使用基于网格的分析模型与基于星/簇的模型相比,能耗更低。
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Performance of Distributed Energy Aware Routing (DEAR) Protocol with Cooperative Caching for Wireless Sensor Networks
Considering Wireless Sensor Networks (WSNs) in today’s scenario, sending and receiving uninterrupted sensory data remains a challenge to achieve with minimal latency and energy consumption as low as possible. Energy consumption is exponentially growing in computing devices such as computers, embedded systems, portable devices, and wireless sensor networks. Extensive research has been in practice recently to minimize energy consumption without compromising the Quality of Service (QoS) that is to provide data to the requester node with minimum Delay and high Reliability. In this paper, a cooperative caching algorithm is used with the proposed Distributed Energy Aware Routing (DEAR) protocol that attempts to minimize energy consumption by reducing the packet overhead in the network and also providing the data to the requester with minimum delay by retrieving requested datum from the nearby caching node available in the vicinity of the requester or sink node. The simulation results clearly show that the energy consumption is less when the grid-based analytical model is used against the star/cluster based model while keeping the same necessary attributes.
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