Connectivity Control Algorithm for Autonomous Wireless Agents

In the power-limited sensor network, it is important to optimize the power allocation while maintaining connectivity for each sensor node to guarantee reliable localization. In order to prolong lifetime of sensors, optimizing the power is very crucial while maintaining a proper number of connectivity to ensure a good localizability. In this paper, we propose a connectivity control algorithm, which consider the number of connectivity while optimizing power of sensors. We investigate the information of distribution node statistically, and formulate the relaxation method of utility function in order to get quasi-concave property. Numerically, we show our proposed algorithm gives better performance compared to the recent algorithms with target connectivity $k=7$, while the other algorithm achieves zero connection with the same trade-off parameter.