Data Fusion using Mobile Agent to Improve the Coverage of Wireless Sensor Networks
- Country : India
- Subject : Computer Science
Keywords : data fusion, mobility, fixed base station, large area coverage, wireless sensor networks.
Abstract
Fusion algorithm design to optimized energy consumption in wireless monitoring process. This study aims to obtain trade-off between power consumption and accuracy. This implementation constitutes a data fusion in itself. Some of applications can include large number of nodes, which poses challenges to network lifetime, data transmission, overall reliability and flexibility. ACO elite method is used for fusion. Data fusion technique is used to improve data accuracy, to predict future events and improve reliability of delivered information. The proposed algorithm uses data fusion as a technique to reduce energy consumption in large WSN. It also uses mobile agent to find appropriate root and to migrate between two nodes and examine remaining energy which avoid invalid node. Mobile agent collects data from the leader node in ACO and passes it to the base station which is placed on central grid of the large network. Position of base station is fixed in this algorithm. The significance of using such applications is sensing coverage i.e.; how well a sensing field is monitored within a network. In the proposed work, an effort is made to bridge this gap by exploring the limits of coverage based on stochastic data fusion models by fusing noisy data of multiple sensors. The proposed algorithm has less energy consumption and more transmission power.
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