Lightweight Path Recovery in IPv6 Internet-of-Things Systems

In an Internet-of-Things system supported by Internet Protocol version 6 (IPv6), the Routing for Low-Power and Lossy Networks (RPL) presents extensive applications in various network scenarios. these novel scenarios characterized access of massive devices, path recovery, which reconstructs complete packet transmission, plays a vital role measurement, topology inference, information security. This paper proposes Lightweight Path recovery algorithm (LiPa) multi-hop point-to-point communication. The core idea LiPa is to make full use spatial temporal recover unknown paths iteratively. Specifically, refer potential correlations between different within time slot status during slots, respectively. To verify effect our proposal, we separately analyze performance leveraging information, their composition simulations. We also compare with two state-of-the-art methods terms accuracy gain–loss ratio. experiment results show that significantly outperforms all its counterpart algorithms settings. Thus, can be considered as promising approach packet-level minor loss great adaptability.