Cross-layer based Energy Optimized Routing Using Bacterial Foraging Optimization Algorithm in MANET
Abstract
For achieving energy efficiency in MANET, transmission power level and energy level of the node should be considered during data transmission. Existing works on energy efficiency fails to address the tradeoff between transmission power and data accuracy though they have utilized cross-layer information for energy efficient routing. Moreover, these protocols mostly operate on the network layer such that the nodes with maximum battery energy or the path with minimum energy consumption are selected. In this paper, cross-layer energy optimized routing protocol (CEOR) using Bacterial Foraging Optimization Algorithm (BFOA) is proposed. In this protocol, initially routes are established with minimum transmit power and maximum SNR values. Then a fitness function is derived in terms of battery power (BP) , node degree (ND) and remaining energy (RE) metric. Along the selected route, BFOA is applied and nodes having higher fitness function are selected as forwarding or relay nodes to further optimize the energy consumption. By experimental results, it has been shown that the proposed CEOR-BFOA protocol attain higher packet delivery ratio with minimized energy efficiency and overhead.