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Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-09-22 , DOI: 10.1186/s13638-020-01788-0
Ajay Sikandar , Rajeev Agrawal , Manoj Kumar Tyagi , A. L. Narasimha Rao , Mukesh Prasad , Muhammad Binsawad

Recently, researchers and practitioners in wireless sensor networks (WSNs) are focusing on energy-oriented communication and computing considering next-generation smaller and tiny wireless devices. The tiny sensor-enabled devices will be used for the purpose of sensing, computing, and wireless communication. The hundreds/thousands of WSNs sensors are used to monitor specific activities and report events via wireless communication. The tiny sensor-enabled devices are powered by smaller batteries to work independently in distributed environments resulting in limited maximum lifetime of the network constituted by these devices. Considering the non-uniform distribution of sensor-enabled devices in the next-generation mobility centric WSNs environments, energy consumption is imbalanced among the different sensors in the overall network environments. Toward this end, in this paper, a cluster-oriented routing protocol termed as prediction-oriented distributed clustering (PODC) mechanism is proposed for WSNs focusing on non-uniform sensor distribution in the network. A network model is presented, while categorizing PODC mechanism in two activities including setting cluster of nodes and the activity in the steady state. Further cluster set up activity is described while categorizing in four subcategories. The proposed protocol is compared with individual sensor energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-ADC). The metrics including the overall lifetime of the network and nodes individual energy consumption in realistic next-generation WSNs environments are considered in the experimental evaluation. The results attest the reduced energy consumption centric benefits of the proposed framework PODC as compared to the literature. Therefore, the framework will be more applicable for the smart product development in the next-generation WSNs environments.



中文翻译:

迈向无线传感器网络中的绿色计算:面向非均匀节点分布的面向预测的分布式聚类

最近,无线传感器网络(WSN)的研究人员和从业人员正在考虑下一代小型轻巧的无线设备,专注于面向能源的通信和计算。具有微型传感器功能的设备将用于感应,计算和无线通信。数十万个WSN传感器用于监视特定活动并通过无线通信报告事件。启用传感器的微型设备由较小的电池供电,以在分布式环境中独立工作,从而导致由这些设备构成的网络的最大使用寿命有限。考虑到下一代以移动性为中心的WSN环境中启用传感器的设备的分布不均匀,在整个网络环境中,不同传感器之间的能耗是不平衡的。为此,在本文中,针对网络中传感器分布不均的无线传感器网络,提出了一种面向集群的路由协议,称为面向预测的分布式集群(PODC)机制。提出了一种网络模型,同时将PODC机制分为两个活动,包括设置节点群集和处于稳定状态的活动。在分类为四个子类别时,将描述进一步的集群设置活动。将该协议与单个传感器能量感知和集群分布式网络模式(EADC)以及基于调度传感器活动的单个传感器能量感知和集群分布式网络模式(SA-ADC)进行了比较。实验评估中考虑了指标,包括网络的整体生命周期以及现实的下一代WSN环境中节点的各个能耗。与文献相比,结果证明了所提出的框架PODC降低了以能耗为中心的收益。因此,该框架将更适用于下一代WSN环境中的智能产品开发。

更新日期:2020-09-22
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