History-Aware Adaptive Route Update Scheme for Low-Power and Lossy Networks

Abstract

Sudden link failure degrades the network performance in the Internet of Things, which comprises energy-constrained sensors. At the network layer, the trickle timer algorithm is responsible to propagate the route updates across the network. The trickle timer manages the transmission of control messages by increasing the control message transmission frequency after detecting inconsistency in the network, and if the network is consistent, it reduces the transmission rate. The transmission rate is regulated by maintaining a redundancy coefficient parameter. Optimizing the control traffic transmission is an active research area that aims to reduce the network traffic overhead and power consumption, which directly affects the network lifetime. The control traffic can be optimized more efficiently by optimal selection of redundancy coefficient value. This article proposes a History-Aware Adaptive Trickle (HAAT) algorithm. HAAT algorithm selects the optimal redundancy coefficient value based on the history of DODAG information object transmissions and suppression corresponding to every redundancy coefficient value. The simulation results indicate that the proposed HAAT algorithm improves the network performance compared to other state-of-the-art mechanisms.