Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/123762
Title: Novel Data Routing Compression and Query Processing Techniques for Energy Conservation in Wireless Sensor Networks
Researcher: Kayiram Kavitha
Guide(s): R.Gururaj
Keywords: Data Routing,Energy Conservation,Wireless Sensor Networks
University: Birla Institute of Technology and Science
Completed Date: 1/8/2014
Abstract: Wireless Sensor Networks (WSNs) play a significant role in applications likedisaster newlinemanagement and human relief, habitat monitoring, studying the weather newlineand eco systems etc. Since the location of deployment of these WSNs is remote newlinein most of the cases, the source of energy is restricted to batteries. Usually, newlineWSNs form either a tree or a graph structure for routing queries and their results. newlineFor a tree-based routing structure, Base-Station (a node which has abundant newlinecomputational, memory, and energy resources) becomes the root node. The newlineapplications and end users submit their queries at base-stations. In pull-based newlinedata acquisition model, the base-stations adopt appropriate strategies to route newlinethese queries to concerned nodes in the network for execution. Nodes execute the newlinequeries and send the result back to the base-station. The base-stations compile newlinethe final results and send it to the users whereas in push-based data acquisition newlinemodel, the sensor nodes continuously keep sending the sensed data to the BS. As newlinethe energy resources available in the network are limited, all routing and data newlineprocessing techniques adopted need to be energy efficient to make the network newlinefunctioning effective and long lasting. newlineA significant amount of work has been done by researchers in the past to achieve newlineenergy efficiency in WSNs. Effective routing tree construction and maintenance newlineschemes have been proposed to construct load balanced routing trees, and newlinefacilitate recovery in case of node failures. Next, to reduce the volume of data newlineunder transmission, a good number of data compression schemes have been newlineproposed. This would reduce the energy consumption during the data newlinetransmissions. Similarly, techniques have been proposed to process the queries in newlinemore efficient way by exploiting containment relationship. The primary newlineobjective of all the available schemes is to conserve the energy which leads to newlineprolong lifetime of the network. But, we observe certain drawbacks in the newlineexisting schemes. The drawback in the existing tree constructi
Pagination: 2.03 MB
URI: http://hdl.handle.net/10603/123762
Appears in Departments:Computer Science & Information Systems

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