A New Fuzzy Algorithm For Improving Quality of Service In Real Time Wireless Sensor Networks

A wireless sensor network comprise a large number of cheap sensors as nodes. These sensors used for data collection and transmition to a central node(sink), are distributed in packed formats in an intended wide area of operation. One of the vital issues in these networks, is their energy constraints which directly affects the network life span. In real time wireless sensor networks (RWSN), not only energy constraints but data delivery time has a vital role in network successful operations as well as data validation. In real time programs, quality of service parameters such as delays must be reduced to a minimum . Reduction of packet losses to increase reliability of data deliveries is another issue in these networks. In this article, a new routing algorithm with fuzzy technique for improving quality of service in RWSN, is presented. The main objectives of this technique are two folds. The first is reduction of energy consumption which results in an increase in the network operations life span and the second is to meet a defined end-to-end delay and hence increasing reliability by reducing number of packet losses considerably. By using different fuzzy parameters and if-then rules, each node can make a decision to choose its next step for routing towards destination (sink). Simulation results show that our proposed new protocol considerably reduces energy usage in the network as well as guaranting the quality of service and noticeable improved performance in comparison with SPEED and THVR.

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