Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
On-Demand Multi Path Distance Vector Routing in Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
On-demand multipath protocol with adaptive routing method by back propagation neural networks
International Journal of Communication Networks and Distributed Systems
The effects of energy-balancing on multipaths by packet allocating in ad hoc networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Energy efficient collision aware multipath routing for wireless sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A Short Survey of Energy-Efficient Routing Protocols for Mobile Ad-Hoc Networks
ARTCOM '10 Proceedings of the 2010 International Conference on Advances in Recent Technologies in Communication and Computing
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
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The focus of this paper is to take into account several factors in wireless networks routing design, the rationale of which are the routing protocols that are designed only based on one criterion, e.g., shortest path or residual energy. The paper proposes two energy efficient routing schemes which consider residual energy, shortest path and network lifetime. These protocols, i.e., energy efficient (EE-AOMDV) and optimal (OP-AOMDV), extend the node-disjoint version of ad-hoc on-demand multipath distance vector protocol (AOMDV). The first EE-AOMDV protocol considers the hop count of the route and residual energy of the node and determines energy efficient route with the help of back propagation neural network, where we define a routing metric as the ratio of residual energy over initial energy and which is exchanged over the routing packets. Also, the second OP-AOMDV protocol considers multiple criterions to select an efficient shortest path route for data transfer. Our simulation results show that energy can be efficiently utilised with the proposed protocols as compared to original AOMDV protocol.