Data compression algorithm for WSN based on distributed coding for one-dimensional

Ahmed, Ahmed Jamal (2015) Data compression algorithm for WSN based on distributed coding for one-dimensional. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

One of the major challenges to design efficient Wireless Sensors Networks (WSN) is the scarcity of energy and computational resources. Distributed source coding schemes provide closed loop algorithms that exploit the source redundancy in the WSN to reduce the amount of information that each node transmits. In many wireless sensor network applications, the data obtained at sequential time points by the same node are time correlated, while, spatial correlation may exist in data obtained at the same time by adjacent nodes. A great deal of node energy will be wasted if data which include time and space correlation is transmitted. A distributed way of continuously exploiting existing correlations in sensor data based on adaptive signal processing and distributed source coding principles is proposed. Our approach enables sensor nodes to blindly compress their readings with respect to one another without the need for explicit and energy-expensive inter-sensor communication to effect this compression. Furthermore, the distributed algorithm used by each sensor node is extremely low in complexity and easy to implement (i.e., one modulo operation). A study is herein carried out along with an implementation of the aforementioned algorithms with the Matlab software. The stability of the closed loop algorithms is then tested by means of simulations. Sinks can obtain correlation parameters based on optimal order estimation by exploring time and space redundancy included in data which is obtained by sensors. Then the sink restores all data based on time and space correlation parameters and only a little necessary data needs to be transmitted by nodes. Because of the decrease of redundancy, the average energy cost per node is reduced and the life of the wireless sensor network is obviously extended as a result.

Item Type:Thesis (Masters)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-5865 Telecommunication. Telegraph.
ID Code:7521
Deposited By:Normajihan Abd. Rahman
Deposited On:28 Jan 2016 14:15
Last Modified:28 Jan 2016 14:15

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