Development of Virtual Backbone Scheduling Technique with Clustering For Faster Data Collection in Wireless Sensor Networks
Penmetsa V. Krishna Raja, S. Subasree Member Ieee, N. K. Sakthivel · 2013
Wireless Sensor Networks (WSNs) dominated in last two decades and it is consider as a key technology for various applications that involve lengthy processing and minimum cost monitoring, such as Battlefield Reconnaissance, Building Inspection, Security Surveillance and etc. In most WSNs, the battery is the important energy source of the sensor node. These nodes are expected to work based on batteries for continuous period times like several months or even for few years without replacing. Thus, energy efficiency becomes a critical issue in WSNs. The main objective of a sensor network is often to send the sensing data from all sensor nodes to a common sink node and then perform further analysis at the sink node. Thus, data collection process is one of the important services used in WSNs applications. In the existing techniques, different approaches have been used to sensible simulation models under the set of sensor nodes to common sink communication process known as convergecast. In the TDMA scheduling technique, it is time scheduling process based on a single frequency channel with the aim of reducing the number of time slots required (schedule length) to complete a converge cast. By using this scheduling mechanism, the data collection is higher than previous mechanisms. However, from our experimental results, this Project Work is realized that the TDMA Scheduler unable to collect data from large Sensor Networks. This is the major identified problem. To address this issue, this Project Work proposed an efficient Virtual Backbone Scheduling (VBS) Technique. Along with scheduling mechanism if we use clustering technique which will increase the life time of Wireless Sensors. To overcome this technique a novel Fuzzy Logic based approach has been introduced which will reduce the complexity of mathematical model. So, that the scheduling process can be done in faster way and which will optimize the life time of WSN. In this project work along with Virtual Backbone scheduling, the Clustering mechanism and Fuzzy Logic based approach will optimize the performance of WSN in terms of Optimized Scheduling, Faster Accessing and Faster calculations.Index Terms- Wireless Sensor Networks (WSNs), Time Division Multiple Access, Virtual Backbone Scheduling, Clustering, Convergecast , Fuzzy Logic,Tree Based Routing