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Energy-Aware Control of Error Correction Rate for Solar-Powered Wireless Sensor Networks

机译:太阳能无线传感器网络纠错率的能量感知控制

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In a wireless sensor network (WSN) environment with frequent errors, forward error correction (FEC) is usually employed at the link layer to achieve reliable transmission. In the FEC scheme, the error correction rate varies depending on the length of parity used for the recovery of broken data. The longer the parity length, the higher the possible error correction rate. However, this also means that the energy consumption increases. Meanwhile, in a solar-powered WSN, the energy of each node can be periodically collected, but the amount of collected energy varies drastically depending on the harvesting environment, including factors such as the weather, season and time of day. Therefore, each node must control energy consumption according to the energy harvesting rate. The scheme proposed in this study executes this control by adaptively adjusting the parity length of FEC according to the given energy budget of a node for the next period. This means that the error recovery rate can be increased as much as possible without adversely affecting the blackout time. Simulation results show that the proposed scheme improves the amount of data collected from the entire network for each environment compared with previous schemes.
机译:在具有频繁错误的无线传感器网络(WSN)环境中,通常在链路层采用前向纠错(FEC)以实现可靠的传输。在FEC方案中,纠错率根据用于恢复破坏数据的奇偶校验的长度而变化。奇偶校验长度越长,可能的纠错率越高。然而,这也意味着能量消耗增加。同时,在太阳能WSN中,可以定期收集每个节点的能量,但收集的能量量根据收获环境而变化,包括诸如天气,季节和时间的因素。因此,每个节点必须根据能量收集速率控制能量消耗。本研究中提出的方案通过根据下一个时段的节点的给定能量预算自适应地调整FEC的奇偶校验长度来执行该控制。这意味着可以尽可能多地增加错误恢复速率,而不会对停电时间产生不利影响。仿真结果表明,与先前的方案相比,该方案提高了从整个环境收集的数据所收集的数据量。

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