Abstract :
With the vigorous development of IOT (Internet of Things), sensor units carried by human beings will form the largest DTMSN in the world. However, most of the existing DTMSN routing protocols haven´t taken the characteristics of human mobility into account, and may not work well in human-oriented data gathering. In this paper, we analyze the characteristics of human mobility, and propose a novel delay- based routing protocol (DRP) for human-oriented DTMSN. In DRP, a sensor node calculates the estimated data delivery delay and takes it as a measure of the delivery capacity, the smaller the estimated delay, the higher the delivery capacity of a sensor node. When two nodes meet, data messages are forwarded to the one with smaller estimated delay. To minimize transmission overhead, DRP employs the message rank and survival time to decide message´s transmission or dropping. We evaluate the proposed scheme in a real human moving scenario provided by MIT Reality datasets, which collected the traces of 100 individuals of MIT over the course of 9 months. Simulation results have shown that the proposed DRP routing protocol achieves a better performance than some other DTMSN data gathering approaches.
