Traditional Wireless Sensor Networks(WSNs)comprise of costeffective sensors that can send physical parameters of the target environment to an intended user.With the evolution of technology,multimedia sensor nodes have...Traditional Wireless Sensor Networks(WSNs)comprise of costeffective sensors that can send physical parameters of the target environment to an intended user.With the evolution of technology,multimedia sensor nodes have become the hot research topic since it can continue gathering multimedia content and scalar from the target domain.The existence of multimedia sensors,integrated with effective signal processing and multimedia source coding approaches,has led to the increased application of Wireless Multimedia Sensor Network(WMSN).This sort of network has the potential to capture,transmit,and receive multimedia content.Since energy is a major source in WMSN,novel clustering approaches are essential to deal with adaptive topologies of WMSN and prolonged network lifetime.With this motivation,the current study develops an Enhanced Spider Monkey Optimization-based Energy-Aware Clustering Scheme(ESMO-EACS)for WMSN.The proposed ESMO-EACS model derives ESMO algorithm by incorporating the concepts of SMO algorithm and quantum computing.The proposed ESMO-EACS model involves the design of fitness functions using distinct input parameters for effective construction of clusters.A comprehensive experimental analysis was conducted to validate the effectiveness of the proposed ESMO-EACS technique in terms of different performance measures.The simulation outcome established the superiority of the proposed ESMO-EACS technique to other methods under various measures.展开更多
Aimed at three basic services(event-driven,data query and stream query),the paper presents a QoS routing model for multimedia sensor networks.Moreover,based on the traditional ant-based algorithm,we propose an ant-bas...Aimed at three basic services(event-driven,data query and stream query),the paper presents a QoS routing model for multimedia sensor networks.Moreover,based on the traditional ant-based algorithm,we propose an ant-based service-aware routing(ASAR)algorithm.The ASAR chooses suitable paths to meet diverse QoS requirements from different kinds of services,thus maximizing network utilization and improving network performance.Finally,extensive simulation is conducted to verify the effectiveness of our solution and we give a detailed discussion on the effects of different system parameters.Compared to the typical routing algorithm in sensor networks and the traditional ant-based algorithm,our ASAR algorithm has better convergence and significantly provides better QoS for multiple types of services in the multimedia sensor networks.展开更多
文摘Traditional Wireless Sensor Networks(WSNs)comprise of costeffective sensors that can send physical parameters of the target environment to an intended user.With the evolution of technology,multimedia sensor nodes have become the hot research topic since it can continue gathering multimedia content and scalar from the target domain.The existence of multimedia sensors,integrated with effective signal processing and multimedia source coding approaches,has led to the increased application of Wireless Multimedia Sensor Network(WMSN).This sort of network has the potential to capture,transmit,and receive multimedia content.Since energy is a major source in WMSN,novel clustering approaches are essential to deal with adaptive topologies of WMSN and prolonged network lifetime.With this motivation,the current study develops an Enhanced Spider Monkey Optimization-based Energy-Aware Clustering Scheme(ESMO-EACS)for WMSN.The proposed ESMO-EACS model derives ESMO algorithm by incorporating the concepts of SMO algorithm and quantum computing.The proposed ESMO-EACS model involves the design of fitness functions using distinct input parameters for effective construction of clusters.A comprehensive experimental analysis was conducted to validate the effectiveness of the proposed ESMO-EACS technique in terms of different performance measures.The simulation outcome established the superiority of the proposed ESMO-EACS technique to other methods under various measures.
基金This work was supported by the National High Technology Research and Development Program of China(No.2006AA01Z304)the National Natural Science Foundation of China(Grant No.90612013)the Beijing Natural Science Found(No.4062024)and the NCET of MOE,China.
文摘Aimed at three basic services(event-driven,data query and stream query),the paper presents a QoS routing model for multimedia sensor networks.Moreover,based on the traditional ant-based algorithm,we propose an ant-based service-aware routing(ASAR)algorithm.The ASAR chooses suitable paths to meet diverse QoS requirements from different kinds of services,thus maximizing network utilization and improving network performance.Finally,extensive simulation is conducted to verify the effectiveness of our solution and we give a detailed discussion on the effects of different system parameters.Compared to the typical routing algorithm in sensor networks and the traditional ant-based algorithm,our ASAR algorithm has better convergence and significantly provides better QoS for multiple types of services in the multimedia sensor networks.
