Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Abstract

A wireless sensor network (WSN) plays a major role in many recent applications now such as surveillance and security, target tracking, agriculture, health and military purposes. The main problem with WSN is the energy resource for long lasting lifetime. Therefore an efficient methodology is to be implemented for improving the energy level of WSN. Also some efforts have focused on the mobility of a single or multiple sink nodes. The mobility of the sink node introduces a tradeoff between the need for frequent re-routing to optimize the performance and the minimization of the overhead resulting from this topology management. In this we propose a novel approach to increase the lifetime of a sensor network based on the mobility, static sink repositioning and multiplicity of sinks. Optimal sink position also identified using optimal search concepts and multipath routing in large scale sensor networks with multiple sink nodes for energy is implemented for entire WSN. Based on the evolution of network in terms of energy dissipation and distribution this approach reaches to find the optimal position for all the sinks in order to optimize the lifetime of the network and move according with intelligent sink positioning. The simulation result shows the efficiency of our approach in terms of energy gain.

Byzantine Resilient Protocol for the IoT

“…Several works have employed multi-sink approaches. The authors of [1] propose the use o multiple mobile sinks, which move to WSN regions where nodes have the most remaining energy. Nodes always try to send data to the nearest sink.…”

“…Previous attempts, like [1], [2], [3], [4], have also suggested using multiple gateways, to achieve performance scalability, minimized energy consumption and to deal with network/gateway failures. However, in the proposed solutions, messages are delivered to just one of the available gateways, for example considering the route that provides better energy balance or the fastest delivery.…”

Design of a novel routing architecture for harsh environment monitoring in heterogeneous WSN

“…This creates the desideratum of a routing protocol in heterogeneous WSN that deals with the sink placement outside the network and also avoiding the hot‐spot problem in the network. In the direction of avoiding hot‐spot problem, the multiple data sinks were employed in some of the research work done toward lifetime enhancement in WSN [41, 42]. It is further observed that the work done in these papers does not focus on the routing strategies among the nodes rather it generates the optimal way by using which the sink nodes can be placed inside or outside the network.…”

Cluster-based optimal sink repositioning technique for WSNs using an improved glowworm swarm optimisation and S* position search algorithm

“…The unimportant sinks for reducing redirection unmistakably had animated the centrality limit and yielded lifetime of sensor nodes. Yasotha et al (2016) an approach for static sinks repositioning and finding the optimal multi sink location. In that flexible sinks are moved self-self-unmistakably and sinks are moved wholeheartedly in various social affairs.…”