Dissertation/Thesis Abstract

Predictive data management with mobile agents for wireless sensor networks
by Bathini, Allibabu, M.S., California State University, Long Beach, 2016, 32; 10108181
Abstract (Summary)

A wireless sensor network consists of several wireless sensor nodes, each of which hosts a battery and a GPS device internally. The entire area that is covered by the network is divided into clusters before the wireless sensor nodes are deployed. The nodes in each cluster have to transmit the data to a base station with minimal energy consumption. Usually, each sensor node transmits the data directly to a base station, consuming a noticeable amount of energy, thus reducing the life time of the sensor nodes.

In the current project, a mobile agent is used in each cluster. The agent travels throughout the cluster collecting data from each node and transferring them to a cluster head. The cluster head transmits the data to the base station reducing data redundancy and overhead. An algorithm termed “ant colony” optimization is used to determine the movement of the mobile agent in the cluster. Simulation results show that data redundancy and overhead are reduced, and efficiency of transmitted data is improved as compared to traditional methods.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Ary, James, Khoo, I-Hung
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering
Keywords: Ant colony optimization, Clustering, Wireless sensor network
Publication Number: 10108181
ISBN: 9781339715445
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