Modified radio model for clustering wireless sensor network /

Wireless Sensor Network (WSN) is a new and fast advancing technology, which is opening up many opportunities in the field of remote sensing and data monitoring. In spite of the numerous applications of WSN, issues related to determining a suitable and accurate radio model that will foster energy con...

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Bibliographic Details
Main Author: Habeeb, Bello Salau
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering, International Islamic University Malaysia, 2012
Subjects:
Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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008 120919t2012 my a g m 000 0 eng d
040 |a UIAM  |b eng 
041 |a eng 
050 0 0 |a TK7872.D48 
100 1 |a Habeeb, Bello Salau  
245 1 |a Modified radio model for clustering wireless sensor network /  |c by Bello Salau Habeeb 
260 |a Kuala Lumpur :  |b Kulliyyah of Engineering, International Islamic University Malaysia,   |c 2012 
300 |a xiv, 130 leaves :  |b ill. ;  |c 30cm. 
500 |a Abstract in English and Arabic. 
500 |a "A dissertation submitted in fulfilment of the requirement for the degree of Master of Science (Communication Engineering)."--On t.p. 
502 |a Thesis (MSCE)--International Islamic University Malaysia, 2012. 
504 |a Includes bibliographical references (leaves 97-101). 
520 |a Wireless Sensor Network (WSN) is a new and fast advancing technology, which is opening up many opportunities in the field of remote sensing and data monitoring. In spite of the numerous applications of WSN, issues related to determining a suitable and accurate radio model that will foster energy conservation in the network limit the performance of WSN routing protocols. A number of radio models have been proposed to improve the performance of WSN routing protocols. However, the underlying assumptions and inaccurate configuration of these radio models make them inefficient and often lead to mismanagement of scarce energy and computational resources. This research addresses these challenges by proposing a modified radio model that adapts to the frequent changes in the location of the object that the sensor nodes is tracking and is robust enough to report reliable data to the base station despite fluctuations due to signal interference. The impact of incorporating stepwise energy level and specialized data transmission schemes in the proposed radio model was also investigated in this research. Key design features were identified and selected, thereafter model of proposed radio model for cluster-based routing was analyzed. Thus, proposed radio model for cluster-based routing was developed. The performance of the proposed radio model was evaluated using OMNET++ and MATLAB and the results obtained were benchmarked against Low-Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information Systems (PEGASIS). The simulation shows that the performances of the proposed Low-Energy Adaptive Clustering Hierarchy-Improved (LEACH-IMP) developed in this research are more efficient when compared to existing clustering routing protocols with respect to energy consumption, number of links faults, number of packets received, signal interference, and network lifetime. LEACH-IMP shows an improvement of 30.72% and 38.10% over LEACH in terms of energy consumption and number of link faults respectively. Moreover, LEACH-IMP shows an improvement of 29.21%, 9.28% and 53.16% over LEACH in terms of number of received packets, signal interference and network lifetime respectively. Similarly, when benchmarked against PEGASIS, LEACH-IMP shows an improvement of 17.93% and 20.24% in terms of energy consumption and number of link faults respectively. Furthermore, LEACH-IMP shows an improvement of 12.02%, 2.22% and 14.38% over PEGASIS in terms of number of received packets, signal interference and network lifetime respectively. Therefore, the LEACH-IMP developed in this research is assessed to be robust enough to report reliable data to the central monitoring system for the end user despite the fluctuations in signal strength. 
596 |a 1 
650 0 0 |a Wireless sensor networks 
650 0 0 |a Wireless communication systems 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department Electrical & Computer Engineering  |z IIUM 
710 2 |a International Islamic University Malaysia.  |b Department Electrical & Computer Engineering 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/5005  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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