| Summary: | 碩士 === 中華大學 === 電機工程學系 === 104 === Nowadays, people use wireless sensing devices becoming widespread. The sensor is mostly uses the battery to supply itself. Therefore, the endurance of equipment is a very important issue. When the data of sensing network is over the limitation of delivery, it will be easy to appear hotspot, and cause the whole network partially blocked and some nodes lose efficacy. This causes the transmission performance degradation, even end the whole sensor network’s life cycle.
In order to enhance the use time of wireless sensing apparatus, we have some improving network power imbalance way now. For example, build multiple sinks deployment, mobile sinks, non-uniform initial energy deployment, and intelligent relay deployment, etc. The above method’s production costs are higher, and this research hopes to create a balanced algorithm without increasing the production costs.
The purpose of balanced algorithm is to alleviate the problem of hotspots, improve the imbalance shortest path of Dijkstra algorithm, and design a hybrid power control to extend the whole sensor network life cycle.
Simulation results show that the two paths balance method effectively reduces battery consumption than the traditional unbalanced method. In addition, the min-max optimization scheme also achieves the best performance than all the other schemes. To reduce the computation complexity, a global probability policy is implemented to tradeoff between the power consumption and computation complexity. As a result, our proposed method achieves the design objective with superior performance for multi-hop wireless sensor networks.
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