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ENERGY EFFICIENT DATA COLLECTION SCHEME USING RENDEZVOUS POINTS AND MOBILE ACTOR IN WIRELESS SENSOR NETWORKS

A Wireless Sensor Network (WSN) is a network composed of a large number of nodes
that sense, collect, transmit, and deliver data to where it is needed. Considering the
variety of applications, the varied efficiency of WSNs in different environments, and
their ability to interact with its surrounding, there are still many challenges to be met and
problems to be solved. Overcoming these challenges requires a protocol that is tasked
with providing and designing a system that is highly efficient, thus saving energy. In
WSNs with Mobile-Actors, the task is first to find an effective way to decrease the length
of the tour that the M-Actor follows for data gathering. Nonetheless, this short length
should be with a guarantee to access all nodes in the networks to collect the sensory data.
In this thesis, we propose a protocol that contributes to reducing energy consumption in
WSNs by decreasing the M-Actor path and by using Rendezvous Points (RPs) that are
distributed around the network. In addition, the proposed protocol increases the network
lifetime by consuming less energy in comparison with a similar protocol and offers
reasonable spending time for data collection. All of that with guarantee of offering an
access for all nodes inside the network to exchange their data with the M-Actors by the
suggested RP algorithm. One or more nodes can be represented by a single RP that
provide connectivity to all nodes in it wireless range. In case where more M-Actors are
used, less time is required for traversing the network for data gathering. It is shown in this
research the tour time can be reduced significantly by using more than one M-Actors.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/15341
Date17 August 2012
CreatorsAlomari, Abdullah Mohammed
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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