Parameter assignment for improved connectivity and security in randomly deployed wireless sensor networks via hybrid omni/uni-directional antennas /
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| Other Authors: | , |
| Format: | Thesis eBook |
| Language: | English |
| Published: |
[College Station, Tex.] :
[Texas A&M University],
[2010]
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| Subjects: | |
| Online Access: | Link to OAK Trust copy |
| Abstract: | Configuring a network system to operate at optimal levels of performance requires a comprehensive understanding of the effects of a variety of system parameters on crucial metrics like connectivity and resilience to network attacks. Traditionally, omni-directional antennas have been used for communication in wireless sensor networks. In this thesis, a hybrid communication model is presented where-in, nodes in a network are capable of both omni-directional and uni-directional communication. The effect of such a model on performance in randomly deployed wireless sensor net-works is studied, specifically looking at the effect of a variety of network parameters on network performance. The work in this thesis demonstrates that, when the hybrid communication model is employed, the probability of 100% connectivity improves by almost 90% and that of k-connectivity improves by almost 80% even at low node densities when compared to the traditional omni-directional model. In terms of network security, it was found that the hybrid approach improves network resilience to the collision attack by almost 85% and the cost of launching a successful network partition attack was increased by as high as 600%. The gains in connectivity and resilience were found to improve with increasing node densities and decreasing antenna beamwidths. |
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| Item Description: | "Major Subject: Computer Engineering" Title from author supplied metadata (automated record created 2010-03-12 12:08:51). Electronic resource. |
| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references. |