Traffic driven topology control for network lifetime maximization
Energy consumption is a major concern in ad hoc wireless networks. Network life-time can be maximized by minimizing the network power consumption. Topology control is one of the most important mechanisms used for reducing network power consumption. Topology control can be achieved either by transmit power control or sleep scheduling. In transmit power control the optimization problem is to find the transmission power at which the power consumption is minimized while maintaining desired connectivity. In sleep scheduling, nodes which are redundant are switched on and off using a scheduling algorithm. One of the main problem with sleep scheduling is whenever the traffic pattern changes, path going through awake nodes may become longer while there may exist a shorter path considering some of the sleeping nodes. This will increase per packet transmission energy consumption as well as end to end delay. In this thesis we propose a traffic aware topology control protocol to solve this problem. It finds out subset of sleeping nodes to be awakened on the basis of current traffic scenarios so that total traffic weighted network cost can be minimized at global level hence saving the overall energy of the network and maximizes the network life- time. Simulation results show that,our proposed protocol is able to save a signicant amount of energy while maintaining end to end packet delay.
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