A routing scheme that meet the QoS Multi-constrained in the wireless sensor network

The key objective of wireless sensor networks (WSNS) is to use the restricted embedded resource efficiently and to maximize their life time. Quality of service (QoS) routing is one of the key technologies to provide differential services and utilize the whole resource effectively for WSNS. We present a new energy best routing method which could meet the requirements of QoS bandwidth and has longer network life time. This method Constructed the Node Selection Model, Energy Assessing Model. The genetic quantum Algorithm (QGA) which utilizes the set of the available nodes was used to construct the route. The Markov chain proved the algorithm that is strong convergence and also the convergence speed is exponent. In addition, the choosing intervals of the controlling parameters proposed by the QGA algorithm have been determined based on the simulations and the analysis results. It has been shown from the experiments that the energy best routing method has better adaptability and longer lifetime.