An optimal strategy with various QoS requirement for data fusion for Internet of Things

Abstract

In the Internet of Things (IoT), sensors deployed in different monitoring areas compete to transmit sensory data to the fusion center, and all links attempt to increase their transmission opportunities by unfairly acquiring channel access. In order to provide prompt and reliable delivery of sensory data, this article proposes a distributed scheduling strategy named NCG‐CSMA based on game theory. The innovation of the NCG‐CSMA strategy is that it introduce a new payoff function that takes into account the time and value attributes of packets as well as the past state of the link, to provide more transmission opportunities for packets with high urgent and more value for data fusion. And, the strategy we proposed does not need nodes to interact to their own information with other competitors and guides each player to make rational decisions in a distributed way. At the same time, NCG‐CSMA is a kind of preemptive strategy. The simulation results demonstrate that the real‐time performance of our strategy is much more satisfactory compared with the existing strategies.