Energy aware framework for cognitive multicast adhoc network

Abstract

Mobile Ad hoc Network (MANET) is a type of distributed network that can dynamically change its topology as per the movement of nodes. With the increase in network size, the routing overheads and probability of congestion increase. The mobile nodes in MANETs are battery-operated, having a limited life; hence they exhaust early and, the network becomes unreliable for data communication. Thus, it is critical to select an optimal path having minimum congestion, low energy consumption with a maximum packet delivery ratio in MANETs. The reliability issue is addressed by finding a route with the highest lifetime with proposed QoS aware AHP based Cognitive Route selection in MANETs (QACRM) method, considering QoS parameters. The results have shown that the proposed method has outperformed MAODV and Kaliyar et al. s method in terms of packet delivery ratio and running route dead. Further, to reduce the delay in the network, another method, Cognitive scheme for Energy Conservation during Delays in MANETs (CECDM), is proposed based on cooperative spectrum sensing for finding spectrum holes. The proposed CECDM method has exhibited its effectiveness to reduce the delay and energy consumption significantly. To find an optimal route from the source to destination, both the QACRM and CECDM are combined to propose a two-tier framework called Energy Aware framework for Cognitive Multicast Ad-hoc Network (EACM). Simulations show EACM framework has achieved desired results. In this thesis work, maximum packet delivery, low energy consumption, and improved network lifetime are achieved using sensing and cognitive route management mechanisms. newline