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中文摘要：
针对现有机会网络自私节点检测算法没有考虑节点收到错帧和节点脱离通信范围监听失败的情况而影响检测准确性的问题,提出一种可靠的自私节点检测新算法——RSND。采用基于跨层监听机制的错帧解析、基于节点相遇的信息挖掘和基于RSSI的节点距离估计3种新机制消除错帧和节点脱离通信范围监听失败对节点自私性检测的影响,提升检测可靠性。理论分析证明了RSND算法的有效性,仿真结果显示,相对于现有的基于2-ACK的自私节点检测算法和Watchdog检测算法,新算法的自私节点检测准确率和网络吞吐量至少提高了6%和4%。
英文摘要：
To address the problem of detection accuracy affected by situations like the omission of node receiving wrong frame and failure of monitoring beyond nodes＇ communication range during the consideration of the existing selfish node detection algorithms in opportunistic networks, a novel and reliable selfish node detection algorithm——RSND algorithm for opportunistic networks was proposed. It employs wrong frame analysis based on cross-layer monitoring mechanism, information excavation based on node encounter and node distance estimation based on RSSI three new mechanisms to eliminate the influence of node＇s selfishness detection due to wrong frame and failure of monitoring beyond nodes＇ communication range, improving the reliability of detection. Theoretical analysis verifies the effectiveness of RSND, and simulation results show that RSND can improve selfish node detection accuracy ratio and network throughput at least 6% and 4%, as compared to the existing selfish node detection algorithm based on 2-ACK and watchdog detection algorithm.
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