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MARIAM SAEED AL NUAIMI

Department of Computer and Network Engineering

College of Information Technology

Title

EFFECTIVE NODE CLUSTERING AND DATA DISSEMINATION IN LARGE SCALE WIRELESS

SENSOR NETWORKS

Faculty Advisor

Prof. Khaled Shuaib

Defense Date

26 November 2015

Abstract

The denseness and random distribution of large-scale WSNs makes it quite difficult to replace or recharge

nodes. Energy efficiency and management is a major design goal in these networks. In addition, reliability

and scalability are two other major goals that have been identified by researchers as necessary in order

to further expand the deployment of such networks for their use in various applications. This thesis aims

to provide an energy efficient and effective node clustering and data dissemination algorithm in large-

scale wireless sensor networks. In the area of clustering, the proposed research prolongs the lifetime of

the network by saving energy through the use of node ranking to elect cluster heads, contrary to other

existing cluster-based work that selects a random node or the node with the highest energy at a particular

time instance as the new cluster head. Moreover, a global knowledge strategy is used to maintain a level

of universal awareness of existing nodes in the subject area and to avoid the problem of disconnected

or forgotten nodes. In the area of data dissemination, the aim of this research is to effectively manage

the data collection by developing an efficient data collection scheme using a ferry node and applying a

selective duty cycle strategy to the sensor nodes. Depending on the application, mobile ferries can be

used for collecting data in a WSN, especially those that are large in scale, with delay tolerant applications.

Unlike data collection via multi-hop forwarding among the sensing nodes, ferries travel across the sensing

field to collect data. A ferry-based approach thus eliminates, or minimizes, the need for the multi-hop

forwarding of data, and as a result, energy consumption at the nodes will be significantly reduced. This is

especially true for nodes that are near the base station as they are used by other nodes to forward data

to the base station. MATLAB is used to design, simulate and evaluate the proposed work against the work

that has already been done by others by using various performance criteria.

Dissertation

Apr 27, 2020