Cognitive scheduling in TSCH based mobile WSN using wavelet packet analysis

Abstract

Mobile Wireless Sensor Network(MWSN) is a spring up field of research in contrast to their well established predecessor-static WSN. The advantages of mobile wireless sensor network over static wireless sensor networks include better energy efficiency, improved coverage, enhanced target tracking, and superior channel capacity. They are much more versatile than WSN because they can be deployed in any scenario and cope with rapid topology changes. One of the main constraints for communication in MWSN is to maximize point-to-point connectivity between nodes. For this Distributed Scheduling is the optimal choice. Time Synchronized Channel Hopping (TSCH) is the suitable underlaying scheme for communication in MWSN. In this paper, Distributed scheduling algorithms for TSCH based MWSN is studied. Reservation based algorithm is used for scheduling and its performance is evaluated. Giving consideration to interference from co-located wireless systems utilizing the same spectral space in 2.4 GHz MWSN environment, scheduling technique is modified using Cognitive Scheme- Wavelet Packet analysis based Channel quality estimation. Simulation results shows that scheduling efficiency is improved about 25% using the proposed scheme.