Research of Adaptive Wireless Power Internet of Things

Abstract

The Internet of things is to identify, locate, track, monitor and manage the perceiving objects through sensing devices. As a part of smart city, the combination of Internet of things and geographic information system will be used more and more widely, such as intelligent traffic network, intelligent environment detection network, forest fire prevention network and so on. These application networks feature single node generating small data packets and massive nodes connecting. Network energy supply and data effective transmission have become the objectives of the research. In this paper, a model of Adaptive Wireless Power Internet of things is proposed. The optimize methods of adaptive clustering based on space information of sensor nodes, data relay transmission and adaptive wireless energy supply are proposed to reduce network energy consumption. The simulation results indicate that the proposed methods can effectively overcome Near-Far Effect of network, ensure the transmission of node data and reduce the network energy consumption.