An Improved Load Balanced Distributed Weightbased Energy-efficient Clustering Hierarchy Routing Protocol for Military Application in MANET

Objectives: MANET has access to excess of real-time data in today’s modern military applications. A portion of military Internet protocol network has a number of challenging task to attain the quality of service to achieve load balancing and energy efficiency. The backhaul radio connected with routing protocol to create a network node doesn’t consider the load balancing problem. Methods: This paper proposes an improved Load Balanced Distributed Weight-based Energy-efficient Clustering (LBDWEC) hierarchy routing protocol algorithm for load balancing in cluster based MANET. A hierarchical routing path is tracked and stored in the cluster heads instead of the network nodes. Thus the routing overheads are reduced effectively. The performance of the Cluster Head (CH) in an unhinged and a non-reliable state degrades the network performance since the cluster head plays a dominant role in routing and tracing of messages between the source and the destination. Selecting a prominent cluster head is based on the electing and priority basis. The formation of a cluster results in three different levels like cluster head, strong and the weak nodes. The differentiation of stronger and weaker node is based on the evaluation of the network density, residual energy and transmission of data between source and destination. A multi agent routing based algorithm is generated to make a possible load balanced route between the source and the destination in the cluster supported network. Findings: A load balanced scheme is presented in this paper to achieve energy efficiency considering both energy usage and congestion amongst the network. The threshold value is accounted here to evaluate the overloading intermediate node with crisis to the queue length across the path. The proposed LBDWEC hierarchy routing protocol uses an optimal path to calculate the energy usage. The algorithm shows better results in achieving the throughput, message delivery ratio and energy efficiency with respective to load balancing in the clustering network.

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