Cluster-based Routing Performance Optimization Constraint of Energy, Delay and Connectivity Metrics in Wireless Sensor Network

Abstract

Abstract-This paper aims to propose a framework for optimizing performance in cluster-based wireless sensor networks (WSNs) with constrains of energy consumption, delay and connectivity. For the limitation of energy storage being discussed a lot, many researches try to find more solutions to improve it. But, the other index of wireless sensor networks may be deteriorated by many routings which are dedicated to optimizing energy consumption. Thereby, multi-objectives optimization is one of significant issues in WSNs. The model of isolation nodes probability for connectivity in the clusterbased networks is adopted for the issue. Not only will the performance of Leach and existing multiobjectives optimization methods be compared under the proposed framework, but also will the performance of networks in different size of scenarios be analyzed. Simulation results show that the proposed framework combining NSGA can provide an effective sensing in terms of energy consumption, delay and connectivity in the cluster-based networks.

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

“…Similarly, using genetic algorithm as performance tradeoff mechanism also includes: Cao [99], Ozdemir [100], Ekbatanifard [101], Carlos [102], Sengupta [103], etc.…”

Posterior Belief Clustering Algorithm For Energy-Efficient Tracking In Wireless Sensor Networksd

“…Much effort has been spent in developing efficient power control algorithms to improve system performance even with imperfect channel state information [3,4,5,6]. Recently, the type of target tracking algorithms based on Markov decision process (MDPs) or partially observable Markov decision processes (POMDPs) becomes the focus and hotspot in WSNs [7,8].…”