| IOT along with cloud computing, big data become the most popular of the three major IT development technologies. Which are expected to transformate and upgrade the traditional industries shortly? This can bring endless economic benefits. The WSN is the most closest to the physical world. As a new technology, It plays a key role in IOT. Premier Wen visited the networking industry District in Wuxi and established the "Smart China" park in 2009. Let the IOT up to country’s development strategy, and emerged a large number of IOT companies while IOT concept raised in our country, such as in smart home, car networking, intelligent transportation and wisdom Wuxi city. It reflected the role in the national economy more and more obvious. Strengthen WSN technology is the entry point to enhance the level of our country’s computer core technology.This paper studies the sink node placement and location problem in mWSN, the main task is to establish a model of dynamic sink node location in mWSN. To solve the flaw of majority of current sink placement strategies are based on static network or lack of adaptive capacity.System model combined the Steiner Center, we studied its geometric properties, not only gives discrete and continuous definitions of Steiner center, but also the speed and accelerate definitions of mobile application. In addition, Durocher proved the stability of Steiner center is 1.2071, eccentric is 0.7071, the Steiner center can makes sink with high stability and low eccentric characteristics. At the same time, experiments show that Steiner is the best center of stability and eccentricity in in the mobile network compared with smallest enclosing circle, mass centre, Euclid center. While we explains Steiner has the advantage of reduce the maximum number of hops, reducing network max-hops and saving energy. All of this proved the advance and scientific of use Steiner as the sink position in mWSN.In system model, It presents a model based on edge. The system model is divided into centralized and distributed different model, which can maintain the Sink in best position of Steiner in mWSN dynamically, the model is designed based on edge-structure, only need a small number of convex nodes of the network to get optimum sink location. And make the nodes complexity of calculate from o(n) down to o((?)).In addition, The distributed model constructed by the convex nodes formed a shortest link. And maintenance the convex hull collaboratively. The centralized model use the single sink as master other nodes as slaver mode to maintenance the network. We also combined with the Kalman filter algorithm to filter the track of sink moving, and forecast the next location, which reducing the lag distance between two update cycle. Thus ensuring the sink keep in the Steiner center in real time.In this thesis, we designed a model of can dynamic keep the sink in best position of Steiner. It solved the problem of sink placement in dynamic network with group characteristic. In learning of WSN, We also designed a gas wireless sensor monitoring system. I hope the model we proposed in this paper can provide a reference for future studies by the sink placement researchers. |
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