Energy Efficient Multihop Quality Path Based Data Collection in Wireless Sensor Network

In recent years there has been an increased focus on the use of sensor networks to sense and measure the environment. This leads to a wide variety of theoretical and practical issues on appropriate protocols for data sensing and transfer. Recent work shows sink mobility can improve the energy efficiency in wireless sensor networks (WSNs). However, data delivery latency often increases due to the speed limit of mobile sink. Most of them exploit mobility to address the problem of data collection in WSNs. The WSNs with MS (mobile Sink) and provide a comprehensive taxonomy of their architectures, based on the role of the MS. An overview of the data collection process in such a scenario, and identify the corresponding issues and challenges. A protocol named weighted rendezvous planning (WRP) which is a heuristic method that finds a near-optimal traveling tour that minimizes the energy consumption of sensor nodes. Focus on the path selection problem in delay-guaranteed sensor networks with a path-constrained mobile sink. Concentrate an efficient data collection scheme, which simultaneously improves the total amount of data and reduces the energy consumption. The optimal path is chosen to meet the requirement on delay as well as minimize the energy consumption of entire network. Predictable sink mobility is exploited to improve energy efficiency of sensor networks. KeywordsData Aggregation, Energy Efficiency, Mobile Sink, Data Collection, Wireless Sensor Network