Research On The Algorithms Of Energy Efficient Information Gathering For The Application Of Environment Perception

Wireless sensor networks(WSNs) are widely applied in environmental perception applications because of their advantages such as expansibility, real time property, various information acquisition, etc. While, limited resources of WSNs(e.g. energy) make the significance of saving energy self-evident. How to reduce power consumption has become a significant research area, which should be implemented throughout each part of WSNs to stimulate greater potential applications. This paper focuses on the algorithms of energy efficient information gathering for the application of environment perception.This article analyzed different kinds of requirements of information gathering in environmental perception applications. The energy saving of raw information gathering and characteristic information gathering were emphatically researched.The WSNs'energy saving problem in environmental perception application was analyzed. Different energy-saving programs were proposed according to implement of raw information gathering and characteristic information gathering. Besides, the present research situation of related technologies was analyzed and discussed.For raw information gathering, an asynchronous duty-cycle algorithm for data gathering in wireless sensor networks was proposed. An energy efficient raw information gathering algorithm was formed and saved energy through coarse wakeup scheduling in network layer and maintenance of the time differences which avoid precision time synchronization. A modification to solve time shift problem caused by differences in internal clocks of nodes was also provided.For characteristic information gathering, an approximate aggregation algorithm based stratified sampling which has proportional allocation was proposed. The algorithm does not need all the sensed data to calculate the results in specified accuracy. A distributed sampling method was used in the algorithm, which reduces energy consumption by minimizing the amount of information transmission with satisfying the requirement of arbitrary precision. The experiment indicates that the algorithms in this paper can reach objects of energy saving and prolonging the lifetime of network efficiently through considering technology character of different information gathering.