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Relay Assisted Effective Loss Recovery Technique for Wireless Sensor Network

机译:继电器辅助无线传感器网络有效损失恢复技术

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In wireless sensor network (WSN), the existing error recovery mechanisms do not concentrate on physical aspects such as error correction and coding. Also a complete balance needs to be maintained among the performance and energy tradeoff in order to prevent communication overhead. Inthis paper, we propose a relay assisted effective loss recovery technique for WSN. In this technique, the relay nodes among the source and destination node is selected based on the parameters such as channel state information and combined score using a decentralized partially observable Markovdecision process. The combined score for each sensor is defined involving the parameters such as queue length, link bandwidth, MAC contention and residual energy. Then the low density parity check (LDPC) codes are used to encode and decode for performing error recovery. By simulation results,we show that the proposed technique reduces the number of errors and also reduces the computational complexity while selecting the node for retransmission of packets at the destination without fail. Also the decision making can be done locally with low overhead.
机译:在无线传感器网络(WSN)中,现有的错误恢复机制并没有集中在纠错和编码等物理方面。此外,为了防止通信开销,还需要在性能和能量之间保持完全平衡。本文提出了一种中继辅助的无线传感器网络有效损耗恢复技术。在该技术中,源节点和目的节点之间的中继节点是基于信道状态信息和使用分散的部分可观测马尔科夫决策过程的综合得分等参数来选择的。定义了每个传感器的综合得分,包括队列长度、链路带宽、MAC竞争和剩余能量等参数。然后使用低密度奇偶校验(LDPC)码进行编码和解码,以执行错误恢复。仿真结果表明,该方法在选择节点进行数据包重传的同时,减少了错误次数,降低了计算复杂度。此外,决策可以在本地完成,开销较低。

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