A Delay/Disruption Tolerant Routing Algorithm for IOT in Harsh Environment

Some kind of IOT (Internet of Things) run in harsh environment. The current Internet architecture and protocols are no longer valid for them. A dynamic routing algorithm with topological information based on Moving model (DRTM) is proposed. Considering the difficulty of getting nodes location in advance, this thesis designs a process to dynamically update node visiting probability and encountering probability, based on this to adaptively choose the relaying nodes. The part-topological information routing algorithms of these networks are analysed in this paper. A topology based optimal routing algorithm The proposed algorithm divides network living cycle into several time slots. The proposed algorithm exploits alternate path to provide tolerance to unpredictable nodes fault. Simulation and performance analysis are implemented. Simulation results show that, with the proposed algorithm running in network, the success rate of data transfer is increased and the time delay is reduced without numerous redundant copies.