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Home / programming language / NS2 / Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks With Obstacles
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Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks With Obstacles

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SKU: PROJ7668 Categories: 2017 Projects, NS2, Wireless Sensor Networking Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks With Obstacles

Abstract— In wireless sensor networks (WSNs), the benefits of exploiting the sink mobility to prolong network lifetime have been well recognized. In physical environments, all kinds of obstacles could exit in the sensing field. Therefore, a research challenge is how to efficiently dispatch the mobile sink to find an obstacle-avoiding shortest route. This paper presents an energy-efficient routing mechanism based on the cluster-based method for the mobile sink in WSNs with obstacles. According to the cluster-based method, the nodes selected as cluster heads collect data from their cluster members and transfer the data collected to the mobile sink. In this paper, the mobile sink starts the data-gathering route periodically from the starting site, then directly collects data from these cluster heads in a single-hop range, and finally returns to the starting site. However, due to the complexity of the scheduling problem in WSNs with obstacles, the conventional algorithms are difficult to resolve. To remedy this issue, we propose an efficient scheduling mechanism based on spanning graphs in this paper. Based on the spanning graph, we present a heuristic tour-planning algorithm for the mobile sink to find the obstacle-avoiding shortest route. Simulation results verify the effectiveness of our method. Wireless Sensor Networks(WSNs) have been applied in many respects including health monitoring, environmental monitoring, military surveillance, and many others as Internet of Thing (IoT) < final year projects >

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