Graduate Thesis Or Dissertation

 

Development and Implementation of JetNet : A Decentralized Wireless Sensing Protocol Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/vx021m058

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  • Modern sensor network applications are often implemented wirelessly in order to lessen installation costs and reduce deployment times. Unfortunately, these wireless sensor network (WSN) nodes must often rely on batteries or energy harvesting techniques in order to sustain their operation and supply the power needed to maintain communication within the network. Careful network protocol design can help to minimize the duty cycle of the radio frequency blocks, thereby reducing energy consumption and improving the lifetime of the wireless network. This work presents JetNet, a proposed protocol that utilizes a combination of time-division multiple access (TDMA) and frequency hopping techniques to enable low power multi-hop communication. Unlike its prominent competitors, JetNet operates in a distributed manner and does not require a centralized controller node. Instead, nodes utilize pseudo-random timeslots to organically establish a communication schedule that can facilitate the collection of sensor data. This distributed behavior allows the network to adapt to changing wireless conditions and improves reliability. The JetNet protocol was implemented in the Castalia and INET network simulators. A variety of network deployments was simulated and the results show that JetNet consumes significantly less power than traditional carrier-sense multiple access (CSMA) protocols. Furthermore, an analysis of the energy consumed per packet shows that the JetNet link layer uses less energy than all of the existing link layer protocols provided within the INET simulator. This behavior makes JetNet an excellent candidate for deployment in battery-free wireless sensor networks.
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  • J. Goins, "Development and implementation of JetNet: a decentralized wireless sensing protocol," Ph.D. dissertation, Oregon State Univ., Corvallis, 2018.
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  • Ongoing Research
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  • 2018-03-30 to 2019-04-30

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