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Home / programming language / Online Java Projects / Compact Conformal Map for Greedy Routing in Wireless Mobile Sensor Networks
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Compact Conformal Map for Greedy Routing in Wireless Mobile Sensor Networks

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SKU: PROJ7527 Categories: 2017 Projects, Mobile Computing Projects, Online Java Projects 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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Compact Conformal Map for Greedy Routing
in Wireless Mobile Sensor Networks

Abstract—Motivated by mobile sensor networks as in participatory sensing applications, we are interested in developing a practical, lightweight solution for routing in a mobile network. While greedy routing is robust to mobility, it may get stuck in a local minimum, which then requires non-trivial recovery methods. We find an embedding of the network such that greedy routing using the virtual coordinates guarantees delivery, thus eliminating the necessity of any recovery methods. Our contribution is to replace the in-network computation of the embedding by a preprocessing of the domain before network deployment and encode the map of network domain to virtual coordinate space by using a small number of parameters which can be pre loaded to all sensor nodes. As a result, the map is only
dependent on the network domain and is independent of the network connectivity. Each node can directly compute or update its virtual coordinates by applying the locally stored map on its geographical coordinates. This represents the first practical solution for using virtual coordinates for greedy routing in a sensor network and could be easily extended to the case of a mobile network. The paper describes algorithmic innovations as well as implementations on a real testbed. < final year projects >

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