Department of Computer Engineering, Higher Education Complex of Saravan, Saravan, Iran.
PLoS One. 2022 Mar 23;17(3):e0265113. doi: 10.1371/journal.pone.0265113. eCollection 2022.
Wireless sensor networks (WSNs) include small sensor nodes with battery and processing power and limited memory units then improving power consumption is a major design challenge for any sensor network. In this paper, a new algorithm for routing in the wireless sensor network is proposed using the ultra-innovative algorithm for bacterial Foraging and mobile sink, which leads to energy efficiency. In the proposed method, the number of sensor nodes is determined according to two criteria: the amount of energy on the battery surface and the distance to the sink ahead, which leads to the formation of regular clusters in the network. Nodes adopt a multi-step routing scheme within the network to communicate with the sink. also, the mobile sink is used to balance the load and help consume uniform energy throughout the network. The simulation results show better performance of the proposed method in terms of energy consumption by 17.99%, throughput rate by 30.04%, end-to-end delay by 46.04%, signal-to-noise ratio by 32.81%, delivery rate successfully Data to the sink is 0.80 times higher than the AFSRP (Artificial Fish Swarm Routing Protocol).
无线传感器网络（WSNs）包括具有电池和处理能力以及有限内存单元的小型传感器节点，因此，提高功耗效率是任何传感器网络的主要设计挑战。在本文中，提出了一种使用细菌觅食和移动汇聚点的超创新算法的无线传感器网络中的路由新算法，从而提高了能量效率。在提出的方法中，根据两个标准确定传感器节点的数量：电池表面的能量和到前方汇聚点的距离，这导致网络中形成规则的簇。节点在网络内采用多步路由方案与汇聚点进行通信。此外，移动汇聚点用于平衡负载并帮助在整个网络中均匀消耗能量。仿真结果表明，所提出的方法在能耗方面的性能更好，能耗降低了 17.99%，吞吐量提高了 30.04%，端到端延迟降低了 46.04%，信噪比提高了 32.81%，成功将数据传送到汇聚点的比率比 AFSRP（人工鱼群路由协议）高 0.80 倍。
