A.Rehash Rushmi Pavitra and E. Srie Vidhya Janani, Anna University Regional Campus, India

The isolated accessible Methane (CH4) Absorption Fueling System (MAFS) is matured based on the mechanics of Wireless Sensor Network (WSN) comprised of gas sensing capable motes complementing a MAFS-WSN. Discrete routing protocols have been designed earlier for data collection in both compatible and divergent networks. This research presents a novel Scheduling based Clustering (SBC) with Mobile Sink (MS) strategy (SBC-MS) which supplements data collection in MAFS-WSN. The SBC-MS strategy attempts to exploit the vital parameters of energy and distance in selecting the appropriate cluster head that well suits MAFS-WSN in reliable gas detection. The MSs are exploited to reduce the energy expenditure in data communication. Extensive experimentations have been carried out with the proposed SBC-MS to ensure the QOS of MAFS-WSN in terms of schedulability and reliability. The simulation results prove that SBC-MS outperforms the earlier clustering technique M-LEACH in terms of network lifetime, energy consumption, end-to-end delay and data rate.

Methane Absorption Fueling system, Gas Sensing Capable Motes, Mobile Sinks, Scheduling and Clustering