Shukla Shailendra
Computer Science and Engineering Department, MNNIT Allahabad, Prayagraj, India.
Wirel Pers Commun. 2023;130(2):757-775. doi: 10.1007/s11277-023-10308-4. Epub 2023 Mar 20.
Node failure in the Wireless Sensor Networks (WSN) topology may lead to economic loss, endanger people, and cause environmental damage. Node reliability can be achieved by adequately managing network topology using structural approaches, where the critical nodes are precisely detected and protected. This paper addresses the problem of critical node detection and presents two-phase algorithms (ABCND). Phase-I, a 2 Critical Node (-) detection algorithm, is proposed, which uses only the neighbor's Received Signal Strength Indicator () information. In Phase II, a correlation-based reliable RSSI approach is proposed to increase the node resilience against the adversary. The proposed algorithms () require time for convergence and for Critical Node detection, represents the number of IoT devices, and is the cost required to forward the message. We compare our algorithm (ABCND) with the current state-of-the-art on - detection algorithms. The simulation result shows that the proposed algorithm consumes 50% less energy to detect - with 90% to 95% accurate Critical Nodes (-).
无线传感器网络（WSN）拓扑中的节点故障可能会导致经济损失、危及人员并造成环境破坏。通过使用结构方法充分管理网络拓扑，可以实现节点可靠性，其中关键节点能够被精确检测和保护。本文解决了关键节点检测问题，并提出了两阶段算法（ABCND）。第一阶段，提出了一种双关键节点（-）检测算法，该算法仅使用邻居的接收信号强度指示符（）信息。在第二阶段，提出了一种基于相关性的可靠RSSI方法，以提高节点抵御对手的能力。所提出的算法（）收敛需要时间，关键节点检测需要时间，代表物联网设备的数量，是转发消息所需的成本。我们将我们的算法（ABCND）与当前最先进的检测算法进行了比较。仿真结果表明，所提出的算法在检测关键节点（-）时，能量消耗减少50%，准确率为90%至95%。
