Improving The Stability and Quality of Service in Cluster Head using Rule Base System in MANET

This paper considers the problem of finding high and low frequency node disjoint and multi constrained QoS using different paths from source to destination with the help of agent based fuzzy inference system. CGSR protocol divide the network into several small areas called clusters and the members of each cluster entrusted to a special node called cluster-head. A fuzzy logic system was proposed by which we select a suitable cluster-head to improve the quality of CGSR protocol. Selecting an appropriate cluster-head can save the power of overall network because the Cluster-Head node consumes more power than other ordinary nodes and the node with the highest chance is elected as the cluster-head. The cluster head is selected by applying (LLC) Least Cluster Change algorithm [6]. (1) Determination of various paths and selecting resource information (energy, mobility, distance, and chance) of the intermediary nodes from source to destination. (2) Identification of node disjoint and multi-constrained QoS paths using Takagi-Sugeno method. Takagi-Sugeno Fuzzy Inference System (TSFIS) finds a fuzzy QoS weight from existing resource information of the intermediary nodes. (3) Choosing the finest path based on the fuzzy QoS weight. (4) Maintain QoS path when path splits due to mobility of nodes or link failure. The model outcome states that our proposed protocol is better than I-MAN on the basis of data fall, delay, load and throughput. Therefore, the proposed system gives a proficient result in the presence and of threats because it provides a suitable protocol on the source of network contexts. Keywords— Fuzzy Logic System, Hops, QoS, MANET, FIS.