Randomized transmission power for accelerated consensus in asymmetric WSNs

Abstract

Abstract-The total energy consumed in a wireless sensor network until reaching a consensus is proportional to the product of the sum of the transmission power of each node and the convergence time. In a network where the nodes are allowed to transmit using different power levels, the minimization of this consumption is not trivial. In this paper, we propose a heuristic scheme of randomized power transmission such that the energy consumed by the network is balanced among the nodes and the convergence time is reduced with respect to a fixed symmetric topology that spends the same average transmission power. The proposed scheme establishes random links between nodes with different probabilities of connection, giving a random asymmetric topology at every iteration. Therefore, in order to minimize the convergence time of the algorithm, we use previous results on the analysis of the mean square error of the state.

Dice the TX power — Improving Awareness Quality in VANETs by random transmit power selection

“…Behzad et al [17] introduced the Fair Randomized Power Control (FRPC) algorithm to increase throughput while providing fairness for different mobile users in the system. Improving the energy consumption in wireless sensor networks until reaching a consensus, was the objective of Pereira et al [18]. They proposed a heuristic scheme of randomized transmission power to balance the energy consumed by the network among the nodes and to reduce the convergence time.…”