Date of Award
Master of Science
Electrical and Computer Engineering
Effective VR systems require a variety of user interaction methods with the environment. Traditional systems used wired devices to implement the interaction devices. This, however, is not possible within the fully enclosed space of the C6, which is a fully enclosed virtual reality system. For this reason, the interaction devices within the C6 must be wireless devices. The current wireless systems are not able to meet the performance needs of real-time interaction in an immersive environment. Problems with the current system include: instability, interference, difficulty in adding new devices, and unacceptable system latency. To provide a better immersive environment, a robust wireless sensor network is necessary to handle interactive devices provided by vendors in the future. The WSN was implemented using off-the-shelf devices developed by Crossbow. The Mica2 and Mica2dot sensor node devices are referenced to as Motes. Optimization methods for the Motes sensor network communication architecture are verified in practice. The individual communication layers of the Motes and C6 VR environment affect the packet delivery performance of the WSNs. Since the integrated sensor nodes are linked in a single hop network, focus was placed on the physical layer and data link layer of the Motes. The metrics used to determine the performance of the physical layer were the packet acceptance rate, the received signal strength indicator and the communication range. The performance of the MAC sub-layer was determined by looking at its collision avoidance, channel allocation, and collective throughput capabilities. In the error control sub-layer the efficiency of several coding techniques were compared, in Matlab, to see how they would perform in harsh channel conditions.
Bernard Semigabo Lwakabamba
Lwakabamba, Bernard Semigabo, "Performance analysis experiments for the wireless sensor networks integrated into the C6 virtual reality environment" (2004). Retrospective Theses and Dissertations. 20734.