Fuzzy based multi-level multi-constraint multi-path reliable routing in wireless sensor network

In the direction of keeping up longer life time of network, there is a limitation on the life-span of Wireless Sensor Network. In numerous applications, data to be sensed should be transmitted commencing from sources towards a sink in a timely way. The low effectiveness of data transmission is capable of routing with low quality of service and needed to guarantee network transmission. The proposed scheme Fuzzy Based Multi-level Multi-constraint Multi-path Reliable Routing contains the energy, delay and transmission reliability. Clustering is utilized for efficient aggregation of residual energy. Super Cluster Head (SCH) selection algorithm among the CHs based fuzzy concept is proposed. The parameters are Attempt Rate (AR), Residual Energy of Sensor Nodes, and distance to the base station) (Dist). Further cost function (CF) for the average residual energy and average end-to-end (ENE) delay, average transmission reliability (AR) for multipath routing network is proposed. The sensed data from SCH to a sink by assures minimum end-to-end delay and maximum transmission reliability and maximum residual energy with assuring reliable routing. Also it is utilized an optimization technique to adjust the parameters used in fuzzy clustering levels to optimize the performance. The work also includes performance comparisons with some selected algorithms. The results of a simulation are shown in NS2 tool and reflect that proposed work performs better than other existing protocols considering different metric used for comparing delay, throughput, PDR, Packet Drop and control overhead.