Analysis of a cone-based distributed topology control algorithm for wireless multi-hop networks
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In this paper, we propose a distributed power management algorithm that will adaptively optimize network performance, reduce interference and preserve network connectivity with changing physical environment and network topology. The physical environment is modeled with log-distance path loss model, log-normal shadowing model and rayleigh fading model. Interference is a prominent problem in multi-user dense wireless network. The proposed algorithm will cooperatively reduce inter-node interference in the network by restricting the node to increase its transmission power indiscriminately. Further, most of the routing algorithms only utilize bi-directional links. Therefore, unidirectional links can be a major source of interference. The algorithm will try to either prevent such uni-directional links or convert them into bi-directional links to route packet if necessary. Therefore with the changing network conditions and the physical environment, the proposed algorithm decides on an optimum coverage area for a node to reduce interference, provide better link qualities, improve spatial reuse, lower number of retransmissions thus improving network capacity and energy efficiency i.e. battery capacity. We will show that the algorithm provides stronger connected and more reliable network improving network performance. It reduces fluctuation in node connectivity even significantly reducing the time node is completely disconnected from the network due to changes in the network and the environment.