QUALITY OF SERVICE OPTIMIZATION OF WIRELESS SENSOR NETWORKS USING A MULTI-OBJECTIVE IMMUNE CO-EVOLUTIONARY ALGORITHM
Quality of Service(QoS) is the the performance level of a service offered by the wireless sensor networks (WSNs) to user, which is an important topic of WSNs.The goal of QoS is to achieve a more deterministic network behavior. QoS of WSNs is an extension of the multi-objective optimization problem, which is modelled as a optimal model with constraint of network connection. The QoS must satisfy the multi-objectives such as energy consumption, bandwidth, delay jitter,packer loss rate.In order to search the optimal solution of the QoS of WSNs, we propose a multi-objective immune co-evolutionary algorithm (MOICEA) for QoS of WSNs. The MOICEA is inspired from the biological mechanisms of immune systems including clonal proliferation, hypermutation, co-evolution,immune elimination, and memory mechanism. The affinity between antibody and antigen is used to measure the optimal set of QoS, and the affinity between antibodies and antibodies is used to evaluate the diversity of population and to instruct the population evolution process.In order to examine the effectiveness of the MOICEA,we compare its performance with that of genetic algorithm (GA) in terms of four objectives while maintaining network connectivity. The experiment results show that the MOICEA could obtain promising performance in efficiently searching optimal solution by comparing with other approaches.
Wireless sensor networks Quality of service Multi-objective immune co-evolutionary algorithm
Xing-Jia Lu Zhi-Rong Chen Lin Guo Yong-Sheng Ding
School of Sciences,Ningbo University of Technology,Ningbo 315016,China School of Traffic and Transportation,Ningbo University of Technology,Ningbo 315016,China College of
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
766-770
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）