Existing multiagent itinerary algorithms are either timeconsuming, or too complicated to realize in reality. Pdf multimobile agent itinerary planning algorithms for data. Multimobile agent itinerary planningbased energy and. Multiagent itinerary planning for sensor networks invited paper 1min chen, 2 sergio gonzlez, 3 yan zhang, 2victor c. A novel framework is presented to divide our mip algorithm into four parts. Wireless algorithms, systems, and applications acheter.
Multimobile agent itinerary planning algorithms for. While most of existing work focus on designing various single agent based itinerary planning sip algorithms by considering energyefficiency andor aggregation efficiency, this paper identifies the drawbacks of this approach in large scale network, and proposes a. First, we build a multiagent based distributed wsn dwsn model. Abstractmulti mobile agents based on data collection and aggregations have proved their effective in wireless sensor networks wsn. Thus, using multiagent itinerary planning overcomes the drawbacks of.
In this paper, we propose multimobile agent itinerary planningbased energy and fault aware data aggregation in wireless sensor networks maef to plan itineraries for mas. As software entities that migrate among nodes, mobile agents mas are able to deliver and execute codes for flexible application retasking, local processing, and collaborative signal and information processing. Second, we present a novel routing itinerary algorithm. Disjoint multi mobile agent itinerary planning for big data. On computing multiagent itinerary planning in distributed. Multimobile agent itinerary planningbased energy and fault aware. The goal of this work is to design an intelligent wsn that collects as much information as possible to process it intelligently. Therefore, it is important to minimize the energy consumed by each sensor, in order to extend the network life. Determination of itinerary planning for multiple agents in. Determination of itinerary planning for multiple agents in wireless sensor networks. This can be achieved by grouping nodes in clusters and planning itineraries efficiently among cluster heads chs only. Directional source grouping for multiagent itinerary.
Mobile agent mabased wireless sensor networks present a good alternative. Energyefficient itinerary planning for multiple mobile agent emip. The simulation result clearly shows that our novel approach performs better. This paper proposes a novel mipbased data gathering. In this paper, we design a routing itinerary planning scheme for the multiagent itinerary problem by constructing the spanning tree of wsn nodes. Recently, wireless sensor networks have employed the concept of. Balanced itinerary planning for multiple mobile agents in. While most of existing work focus on designing various single agent based itinerary planning sip algorithms by considering energyefficiency andor aggregation efficiency, this paper identifies the drawbacks of this approach in large scale network, and proposes a solution through. Request pdf multiagent itinerary planning for wireless sensor networks agentbased data collection and aggregation have been proved to be efficient in wireless sensor networks wsns. Computers and internet algorithms research applied research energy consumption energy efficiency multiagent systems sensors innovations usage wireless sensor networks. A novel routing algorithm for wireless sensor network. Multiple mobile agents based data dissemination protocol.
Optimal itinerary planning for mobile multiple agents in wsn. Wireless sensor network, data gathering, mobile agent, multiagent, itinerary planning. Despite the advantages of multiagent itinerary planning, finding the. Directional source grouping for multiagent itinerary planning i n wireless sensor networks abstract. Energy efficient and reliable data dissemination in wireless sensor network is an important research issue since the network consists of low cost nodes with limited resources. Wireless sensor networks wsn are designed to collect information by means of a large number of energylimited battery sensor nodes.
Intelligent communication in wireless sensor networks mdpi. Agentbased data collection and aggregation have been proved to be efficient in wireless sensor networks wsns. This book constitutes the proceedings of the 10th international conference on wireless algorithms, systems, and applications, wasa 2015, held in qufu, shandong, china, in august 2015. This paper presents a new immune inspired algorithm, the clonal selection algorithm for multiagent itinerary planning csamip, to solve the mip problem in wireless sensor networks. Directional source grouping for multiagent itinerary planning i n wireless sensor networks. Report by international journal of communication networks and information security ijcnis. Multiagent itinerary planning for wireless sensor networks. Download citation on computing multiagent itinerary planning in distributed wireless sensor networks the agent technology has been widely used in wireless sensor networks to perform data. Request pdf multiagent itinerary planning for wireless sensor networks. Pdf recently, wireless sensor networks have employed the concept of mobile agent to. Wireless sensor network, data gathering, mobile agent, multi agent, itinerary planning.
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