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Near-optimal energy-aware approach through INSTANT-OFF and NEVER-OFF clustering by fuzzy logic for wireless sensor networks
Journal of Intelligent & Fuzzy Systems ( IF 1.7 ) Pub Date : 2021-06-15 , DOI: 10.3233/jifs-200382
Abid Hussain 1 , Saima Munawar 1 , Nasir Naveed 1
Affiliation  

Wireless Sensor Networks (WSNs) consist of various low-cost devices with limited battery power for surveillance of certain vicinity. The main concern was to prolong the network lifetime to save energy. The heterogeneous nodes are deployed in the given setting divided into two INSTANT-OFF and NEVER-OFF states. Then each one is further subdivided by a Fuzzy Inference System (FIS). The INSTANT-OFF (Good, Better, and Best) has three states active, idle, sleep, and always worked as Cluster Members (CMs) to sense the physical environment. The NEVER-OFF (Good, Better, and Best) has active and idle states. The first two most optimum NEVER-OFF selected as Cluster Head (CH) and Data Collector (DC), and the remaining belonged to CMs. The cluster boundary was defined by parameter Distance from Base Station (DisBS) to meet the unequal clustering approach. The energy consumes during sensing, processing, and transmission phases by its appropriate nodes. The CMs worked reactively and saved energy by idle and sleep states, while the CH and DC worked in a proactive mode and saved energy in an idle state. The sensing job was done by CMs that consumed a minor amount of energy and transmitted packets of 200 bits length to DC. The DC received packets of 200 bits length from CMs and aggregated them into 6400 bits length packets, then delivered them to CH. The reactive and proactive mechanisms saved the energy as 85.1033% in 2000 rounds; increased lifetime up to 774 rounds, re-clustering setup took place after 1912 rounds, and enhanced the throughput as 100% and latency time 0.001123 by experiment evaluation. The result shows that most energy consumption job were communicated with BS performed by CH hop by hop through other CH. The unequal clustering approach maintained the consumption of energy levels throughout WSNs processing.

中文翻译:

通过无线传感器网络的模糊逻辑通过 INSTANT-OFF 和 NEVER-OFF 聚类实现接近最优的能量感知方法

无线传感器网络 (WSN) 由各种低成本设备组成,电池电量有限,用于监视某些附近。主要关注的是延长网络寿命以节省能源。异构节点部署在给定的设置中,分为两种 INSTANT-OFF 和 NEVER-OFF 状态。然后每一个都被一个模糊推理系统(FIS)进一步细分。INSTANT-OFF(Good、Better 和 Best)具有三个状态 active、idle、sleep,并且始终作为 Cluster Members (CM) 工作以感知物理环境。NEVER-OFF(良好、更好和最佳)具有活动和空闲状态。前两个最优化的 NEVER-OFF 被选为簇头 (CH) 和数据收集器 (DC),其余属于 CM。集群边界由参数距离基站 (DisBS) 定义,以满足不等聚类方法。其适当节点在传感、处理和传输阶段消耗能量。CM 被动工作,通过空闲和睡眠状态节能,而 CH 和 DC 工作在主动模式,在空闲状态下节能。感知工作由消耗少量能量并将 200 位长度的数据包传输到 DC 的 CM 完成。DC 接收来自 CM 的 200 位长度的数据包,并将它们聚合成 6400 位长度的数据包,然后将它们传送到 CH。被动和主动机制2000轮节能85.1033%;将生命周期延长至 774 轮,在 1912 轮后进行重新聚类设置,并通过实验评估将吞吐量提高为 100%,延迟时间为 0.001123。结果表明,大多数能耗工作是通过其他 CH 逐跳与由 CH 执行的 BS 进行通信的。不等聚类方法在整个 WSN 处理过程中保持能量消耗水平。
更新日期:2021-06-15
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