Study On Dynamic Monitoring Of The Internet Of Things Based On Regulation Of Endocrine Mechanism

The Internet of things is the third wave of information industry development,which is one of the development trend of information and communication technologies. With the support of the Internet of things, from all walks of life are toward the intelligent direction, and form intelligent agriculture, intelligent transportation, smart power grid, smart city, and so on. The Internet of things has great application prospect, but at the same time also faces many sorts of difficulties and challenges. The rapid development of life science promotes advance of biological intelligence.Among them biological endocrine regulation mechanism for the Internet of things application research provides a new train of thought and direction.Wireless sensor network is an important way in the field of monitoring of the Internet of things, WSN monitors the target on real-time and collects data from target. This paper designs algorithms by considering to reduce the energy consumption, prolong the network life time and introduce the endocrine regulation mechanism. At meantime, in consideration of the location information and sampling frequency of nodes, it adopts to the mobile Sink node to collect data.Therefore, there are following three parts including in this paper.(1) The data from sensor nodes must contain its own position information, otherwise it is invalid. However, there are common problems that the positioning accuracy is not high and investment is expensive and so on. Aimed at all of such shortcomings, this paper puts forward EDV-HOP positioning, which is based on hormone information correction. In this localization algorithm, sensor nodes transmit the information of their own hormones when they send data.After receiving hormone of nodes and its neighbor nodes, we calculate the distance according to the received hormone concentration. And then hop count is modified based on the distance.Finally, the position of the sensor node is estimated by the modified hop count. This experiment shows this algorithm can improve the positioning accuracy of sensor nodes effectively.(2) It is difficult to determine standards of WSN sampling frequency.If it is too low, the probability of missing important information will increase and accuracy can not be guaranteed; if it is too high, a large number of redundant data will occur, which leads to premature failure of the network. For the problems of WSN sampling, referring to the mechanism of endocrine system, a WSN adaptive sampling algorithm(EASA) is proposed. The EASA, which is inspired by regulation of endocrine mechanism. The algorithm can secretes different hormone information according to the change of the monitoring target, and adjusts the working state and the sampling frequency of the sensor nodes dynamically. So it can can keep sampling frequency reasonable.When target changes slowly, it will send inhibitory hormone to reduce the sampling frequency.But if target changes quickly, stimulating hormone will be sent and it increases the sampling frequency. By this way, not only can it save the energy of sensor nodes but prolong the life time ofthe network.(3) In application of WSN, data collected by fixed base station usually leads to the fact that cluster head node,which is near the base station, premature failure because of transmit too much of the data, and that life time of WSN is shortened. To solve this problem, collecting data by method of the mobile sink node, referring to the mechanism of endocrine system and ACO algorithm, a data collection strategy for mobile sink node based on EACO is proposed. Firstly, WSN is clustered by LEACH protocol and cluster’s head nodes spread hormone information, which will mark the importance of the data. The higher the concentration of the cluster head is, the more important the data is.Per the concentration of the hormone and the distance between the cluster head nodes, after calculation, algorithm will get the visibility factor, which can search optimal path of the mobile sink node. Test indicates this method can guarantee sending important information timely, and reduce time delay effectively. Besides, it can also extend the life time of network.