Level-based Data Aggregation Method in Wireless Sensor Networks

• Main Authors: Yong-Hsun Lai, 賴勇勳
• Other Authors: Hung-Chi Chu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/21149487221210003465

碩士 === 朝陽科技大學 === 網路與通訊研究所 === 96 === In recent years, the rapid advances in Micro-electromechanical System (MEMS) and wireless communication have made wireless sensor networks possible. Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes. In wireless sensor networks, as result of sensing range of sensor nodes may overlap each other. The same event will trigger the response from many nearby sensor nodes and transmit data to sink. If sensor nodes receive data without data aggregation process, it will cause the repetition of data transmission and the unnecessary energy consumption. Therefore, in order to reduce the energy consumption, it is essential to adopt the data aggregation technique. This is because that data aggregation technique can effectively reduce the unnecessary transmission and the size of transmission data. These effects cause the energy saving effect. In this thesis, we proposed an automatic routing mechanism and level-based data aggregation method to detect the variety of temperature within a specific area. According to the temperature that sensed by sensor nodes, it can be expressed by the level degree. When sensor nodes collect a certain amount of data, they perform the data of aggregation, compression process and then transmit it to the sink node. This process can reduce the transmission data size and the number of communication with energy-saving. If the sensed data is exceptional, this emergent data will be transmitted to sink node immediately to notify the manager. By using network simulator version 2 (NS-2) in our simulation, it shows that the proposed method can effective reduce the energy consumption of transmission and bandwidth utilization.