Mobile nodes in a collective structure create a Mobile Ad Hoc Network in which communication exchange amongst them happens through the deployment of multi hop wireless links. This also renders an efficient and seamless communication in addition to the Quality of Service (QOS). This is integrated with the process of optimization of energy usage, which is usually necessary for the design and development of the MANET. In the past few years, CC or Cooperative Communication has been regarded to be an efficient technique and has huge potential. Thus the general collaboration amongst users QoS may be improved and is also enhanced in wireless networks. According to the studies and research carried out earlier, the system, which had been implemented, was one deploying the CRCPR or the Constructive-Relay-based Cooperative Routing (CRCPR) technique with the aim of achieving communication, both seamless and also efficient. The research work, which has been studied here, elaborates on the storage and retention of topological information, which exists in the cooperative Table and Relay Table. In this, CRCPR aids in implementing resilience to enable the amelioration of the mobility challenge by the process of self-management that operates towards the construction of sufficient relays, which facilitates the forwarding of data. The maintenance of the relay and cooperative tables’ for every node surely results in arises in the overheads and their computational complexity. But, the challenges of load balancing and also energy consumption still exist. With the aim of resolving this problem, it has been advised to implement a system, which uses the FC-CRCPLR technique and is called as the Fuzzy based Clustering and Constructive-Relay-based Cooperative and Load balanced Routing. The technique work, which has been studied here implements mobile node clustering and CH or Cluster Head selection, which has been executed through the deployment of fuzzy based clustering algorithm. The novel CRCPLR yields an elaborate and logical based systematic cooperative routing approach, which consists of a collaborative route discovery, reply, enhancement and selection, load balancing, and also collaborative data forwarding. The CH here is accountable for maintaining the relay and also the cooperative table instead of its maintenance in every node. Load balancing is performed by using the node degree, energy consumption, packet arrival time, mobility and priority. Results obtained from the experiments, which have been performed here clearly indicates that the novel system that implemented leads to a superior performance compared the available system particularly with regard to the end to end delay, packet delivery ratio and energy consumption.
Volume 11 | 04-Special Issue
Pages: 1743-1753