QoS Routing Based on Parallel Elite Clonal Quantum Evolution for Multimedia Wireless Sensor Networks

QoS Routing Based on Parallel Elite Clonal Quantum Evolution for Multimedia Wireless Sensor Networks

QoS Routing Protocol
QoS routing protocol works through the selection of an optimal path with the lowest energy consumption and numerous QoS constraints. It helps in reducing the overall network energy consumption while improving the communication quality of the different multimedia sensor nodes. The complex nature of the multiple constraints QoS unicast routing problem is increased to create an NP-hard nonlinear mixed integer optimization equation. To ensure that the routing problem is dealt with, QoS constraints including packet loss is addressed appropriately (Zhou et al., 2014). It also helps in supporting the overall performance of the multimedia wireless sensor networks. Some of the new approaches that have been introduced in QoS routing includes the random walk routing method that helps in minimizing the cost and delay in the process. The new approach also assists in enhancing energy saving and reduction of latency.
II. System Model
This approach follows a mathematical model approach of the multi-constraints QoS unicast routing concern for multimedia WSNs with the restrictions of communication capabilities. It also uses nodes to define the routing problems, as the nodes are arranged into the various destinations. The radio energy approach, route functions, constraints, and the objective function helps in integrating the system model. Therefore, the system model helps in obtaining a low energy cost route between the sources and the destinations.
III. Unicast Routing based on PECQEA
Unicast routing based on PECQEA involves the use of the analogous, genetic and evolutionary algorithms to support the implementation of population, individual and the fitness function among the multimedia wireless sensor networks. It seeks to employ the Q bits, which are the basic information units related to that of computers. It mainly emphasizes on the need to use quantum computing, as it offers more diversity than other single state representations. Thus, the unicast routing based on PECQEA relies on the probabilistic description of all possible solutions to clonal problems.

Reference
Zhou, J., Dutkiewicz, E., Liu, R. P., Fang, G., & Liu, Y. (2014, April). QoS routing based on parallel elite clonal quantum evolution for multimedia wireless sensor networks. In Wireless Communications and Networking Conference (WCNC), 2014 IEEE (pp. 2498-2503). IEEE.