Energy efficient mechanisms for achieving sustainability in non energy and energy harvesting WSN based IoT Systems

Abstract

Wireless Sensor Networks (WSNs) have immensely infiltrated newlineinto various real-time applications such as environmental surveillance, newlineindustrial control, event monitoring and healthcare process. Most of the newlineapplications normally do not allow physical interventions, but at the same newlinetime they warrant human attentions round the clock. The WSN that acts as a newlineprincipal idea behind these crucial applications is the network of tiny and newlineenergy constrained sensor nodes. Hence, WSNs are badly affected by energy newlinerelated problems which in turn influence the lifetime of the core sensor newlinenetwork. A well-known topology management scheme called as clustering is newlinewidely used for WSNs with no energy harvesting perspective, whereas energy newlineharvesting approaches are applied for rechargeable sensor networks to newlinemaximize the network lifetime. Clustering solves the energy related issues of newlineWSNs by providing a local infrastructure arrangement for managing the newlinenetwork and resources in a suitable manner. So, achieving energy efficient newlineWSNs through clustering is a major research concern to meet the improved newlinelifetime of the entire network. newlineMaking balanced energy consumption among the clusters in WSN newlinethrough cluster balancing is a popular strategy for the existing approaches. newlineApart from the cluster balancing, reduction of Intra-Cluster Distance (ICD) of newlineclusters also contributes significantly towards energy efficiency as the power newlinespent on communication is proportional to the distance. Reducing ICD of newlineclusters while maintaining balanced nature among them in WSN is a newlinechallenging issue. An out of the box approach is thus needed to meet both newlinecluster balancing and reduced ICD at the same time to further maximize more newlinelifetime than the existing models. newline