Coding Techniques for Achieving Efficient Wireless Sensor Networks
In this dissertation, we explored multiple coding techniques to reduce energy consumption, improve performance, and secure wireless sensor networks specifically and ad-hoc networks in general. With the introduction of Internet of Things (IoT) and 5G technologies, wireless sensor networks are quickly emerging as an important and key technology in the future. From their ability to sense, process, and communicate data among them to being low-powered, self-organizing, and cost effective. Their characteristics made them a great tool for many applications, they already have a role in connecting homes, cars, surveillance systems, early earthquake and forest fire detection. However, due to their limited power and processing energy, they suffer to maintain acceptable performance and connectivity especially when deployed in harsh environment. In this research, we demonstrated novel techniques that can help improve their performance while reducing energy consumption. The contribution of this work is summarized below.
Major Advisor: Mario Magana
Minor Advisor: Bella Bose
Committee: Bechir Hamdaoui
Committee: Yue Cao
GCR: Bill Warnes
Tuesday, December 17, 2019 at 12:00pm to 2:00pm
Kelley Engineering Center, 1005
110 SW Park Terrace, Corvallis, OR 97331
Calvin Hughes
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