Wu Nan-I, Feng Tung-Huang, Hwang Min-Shiang
Department of Information Management, Lunghwa University of Science and Technology, Taoyuan 33306, Taiwan.
Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan.
Sensors (Basel). 2025 Jul 16;25(14):4422. doi: 10.3390/s25144422.
Wireless sensor network data is an important source of big data. A sensor node cooperatively transmits or forwards data through intermediate nodes to a collection center, which is then aggregated for big data analysis and application. The relay selection algorithm selects the best transmissible node among the candidate nodes to fully exploit the limited resources of the sense nodes and extend the network lifecycle. A wireless sensor network relay selection algorithm based on a fuzzy inference system often uses sorting methods or random methods as the selection mechanism to choose when the fuzzy system outputs the same result. However, in the state of communication, networks often face the retransmission of lost packets, which consumes excess electricity. This study proposes a contraindicated safety selection mechanism algorithm to address equal output values in fuzzy systems. The proposed algorithm effectively reduces the retransmission probability to achieve benefits that isolate destructive or malicious nodes, thereby maintaining a higher network lifespan and safety.
无线传感器网络数据是大数据的重要来源。传感器节点通过中间节点协作传输或转发数据到收集中心，然后对其进行聚合以用于大数据分析和应用。中继选择算法在候选节点中选择最佳可传输节点，以充分利用传感节点的有限资源并延长网络生命周期。基于模糊推理系统的无线传感器网络中继选择算法通常使用排序方法或随机方法作为选择机制，以便在模糊系统输出相同结果时进行选择。然而，在通信状态下，网络经常面临丢失数据包的重传，这会消耗过多电量。本研究提出一种禁忌安全选择机制算法，以解决模糊系统中的相等输出值问题。所提出的算法有效降低了重传概率，以实现隔离破坏性或恶意节点的益处，从而保持更高的网络寿命和安全性。
