The Study Of Energy-efficient Based On Multi-query In Wireless Sensor Network

Wireless sensor network is an emerging technology, and has been proposed for a large variety of applications, such as military, environmental monitoring, health care, intelligent household, urban transportation, warehouse management, etc. Due to the limited volume of sensor nodes, the energy that they carried is limited, and is not easily added. So the energy resources are crucial for wireless sensor network. How to minimize the consumption of energy is the problem that needed to be resolved. The following contents are the main research work of this scheme:(1) Analyzing the scheme proposed by Chen et al, which studies the processing of a single query, but has not take the similarity among queries into account. In fact, as the number of users in sensor networks increasing, it is common that base station often needs to process multiple queries simultaneously. Furthermore, these queries often need to collect data from some particular sets of sensors such as the sensor in a hot spot. In order to solve this problem, this paper puts forward an optimize energy scheme based on the similarity of multi-queries in wireless sensor network. This scheme effectively deals with the redundant data by the query processing function and the average shortest path method, which reduced the transmission quantity of data, reached the maximization of energy use.(2) The scheme of this paper is simulated with vc++ in windows system. The experimental results demonstrate that the energy consumption of this scheme is much smaller than that have not considered with similarity. So it will be more advantageous to prolong the life of sensor network.