Auto-rate Adaptive Mechanism for Traffic- Control in Sensor Network

Each sensor node in wireless network comprises of different processing ability with multipath energy sources, resulting in traffic while performing routing. Control of traffic through multipath routing in sensor network poses a serious challenge during packet transfer due to different characteristics of sensor nodes like beam, temperature and seismic sensors minimizing the desired throughput. If multi-hop traffic occurred on wireless network, the percentage of delay is also increased and fails in achieving robustness with inefficient packet transfer rate. In order to achieve the desired reliability during packet transfer over wireless network, a new mechanism is proposed in this paper. The mechanism Traffic-control using Autorate Adaptive with Medium Access Control (TAAd-MAC) is designed to improve the efficiency of packet transfer rate on sensor network. Initially, TAA-MAC creates a route with instantaneous transmission queue length and identifies the traffic level of nodes in wireless sensor network. The traffic level of nodes is identified using Fuzzy Markovian Queue based Random Node Distributed Traffic point. Next to increase the robustness of packet transfer in sensor network by controlling the traffic, Auto-Rate Adaptive MAC mechanism is designed. Auto-Rate results in achieving higher throughput according to the changes observed in the network behavior. Finally, TAA-MAC mechanism uses the Auto-rate Distributed Contingency Algorithm to reduce the delay on multipath packet transfer in wireless network. Auto-rate Distributed Contingency algorithm also helps to reduce the traffic on emergency dynamic routing on sensor network zone. Experiment is conducted on factors such as traffic-control routing effectiveness, average delay time on multipath routing sensor network, and throughput rate.