Swarm intelligence managed UWB waveform and cognitive sensor network protocol

In this paper, an ultra-wideband waveform that is designed for optimum power and communication protocol that utilizes cognitive processing to make intelligent communication parameter decisions is proposed for wireless sensor application. Due to multiple objectives such as adaptive data rate, power control and quality-of-service, the message transmission becomes a non-deterministic polynomial computation time hard problem requiring cognitive processing. Thus a swarm algorithm that provides an optimal and reliable solution is applied. The low-cost, low-power hardware Bi-pulse-ultra-wideband is resilient to multipath fading, which occurs due to the wall-penetration, shadowing and propagation loss. The designed cross layer protocol incorporates the signal's physical properties. Hence, a cross layer protocol helps to balance the throughput while reducing latency, sensor resources thus longevity of network is attained.