Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.
Department of Computer Science and Engineering, Chandigarh University, Mohali 140413, India.
Sensors (Basel). 2022 Aug 16;22(16):6109. doi: 10.3390/s22166109.
Wireless sensor networks (WSNs) have recently been viewed as the basic architecture that prepared the way for the Internet of Things (IoT) to arise. Nevertheless, when WSNs are linked with the IoT, a difficult issue arises due to excessive energy utilization in their nodes and short network longevity. As a result, energy constraints in sensor nodes, sensor data sharing and routing protocols are the fundamental topics in WSN. This research presents an enhanced smart-energy-efficient routing protocol (ESEERP) technique that extends the lifetime of the network and improves its connection to meet the aforementioned deficiencies. It selects the Cluster Head (CH) depending on an efficient optimization method derived from several purposes. It aids in the reduction of sleepy sensor nodes and decreases energy utilization. A Sail Fish Optimizer (SFO) is used to find an appropriate route to the sink node for data transfer following CH selection. Regarding energy utilization, bandwidth, packet delivery ratio and network longevity, the proposed methodology is mathematically studied, and the results have been compared to identical current approaches such as a Genetic algorithm (GA), Ant Lion optimization (ALO) and Particle Swarm Optimization (PSO). The simulation shows that in the proposed approach for the longevity of the network, there are 3500 rounds; energy utilization achieves a maximum of 0.5 Joules; bandwidth transmits the data at the rate of 0.52 MBPS; the packet delivery ratio (PDR) is at the rate of 96% for 500 nodes, respectively.
无线传感器网络(WSNs)最近被视为为物联网(IoT)的出现铺平道路的基本架构。然而,当 WSN 与 IoT 连接时,由于节点中能量的过度利用和网络寿命短,出现了一个难题。因此,传感器节点中的能量约束、传感器数据共享和路由协议是 WSN 的基本主题。本研究提出了一种增强型智能节能路由协议(ESEERP)技术,该技术延长了网络的寿命并改善了其连接,以满足上述缺陷。它根据一种从多个目的导出的有效优化方法来选择簇头(CH)。它有助于减少休眠传感器节点并降低能量消耗。在选择 CH 后,使用 Sail Fish Optimizer(SFO)为数据传输到汇节点找到合适的路由。关于能量利用、带宽、分组投递率和网络寿命,对所提出的方法进行了数学研究,并将结果与相同的当前方法(如遗传算法(GA)、蚁狮优化(ALO)和粒子群优化(PSO)进行了比较。模拟表明,在提出的网络寿命方案中,有 3500 轮;能量利用率最高可达 0.5 焦耳;带宽以 0.52 MBPS 的速率传输数据;分组投递率(PDR)在 500 个节点时分别为 96%。