Summary: | 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 101 === Wireless sensor networks have the advantages of low cost and easy deployment. These make them excellent mechanisms for capturing environmental data and interacting with the physical environment for the application of building automation. However, radio propagation suffers from multi-path, shadowing and other radio interference problems in building environments. The quality of network communication is highly unpredictable. In many researches, a main concern is to provide network reliability in a dynamic in-building environment.
In this paper, we focus on improving the network reliability of wireless communication in indoor environments. We address this problem by means of an appropriate network infrastructure which includes a cluster network topology and a robust nodes deployment, then through our proposed Adaptive Network Quality Control algorithm (ANQC) to overcome the dynamic environment. The position of sensor nodes is critical to improving network performance. We study the radio channel characteristics in indoor environment through empirical measurement and theoretical-based simulation. Based on these results, we propose deployment guidelines including the distance between a pair of nodes and the number of nodes in a cluster. The purpose in the use of ANQC algorithm is maintaining satisfactory network quality while the factors which influence the network quality are changed. ANQC algorithm can dynamically adjust the transmission power, operating channel and routing table.
To verify the improved performance of the system architecture, the proposed algorithm was implemented based on ZigBee protocol and simulated by ns-2 network simulator. We also have used the ns-2 to measure the network performance with a specific network infrastructure. Finally, the simulation results show that the average packet reception rate is maintained.
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