An Efficient and Energy-saving Data Dissemination Mechanism for Low-power and Lossy Networks
Kaibin Zhang, Jin‐Soo Kim, Gihwan Cho · IEIE Transactions on Smart Processing and Computing · 2018
A low-power and lossy network (LLN) connects a huge amount of resource-constrained devices. These devices are limited in processing ability, memory, and power supply. With a view to performance, the Trickle timer algorithm was proposed to reduce control overhead of the routing protocol for LLNs, which aims to emphasize a high data transfer rate while consuming low power. In this paper, we propose an efficient and energy-saving data dissemination mechanism for LLNs to overcome the choke-point problem left over by the Trickle timer mechanism. A new parameter is introduced to indicate the neighbor density, and two modes are utilized to distinguish a node’s actions in silence or burst situations. If a node is detected inside a circle of updated nodes, it will enter silence mode to reduce broadcasting frequency. When a node is recognized on the border, it will enter burst mode to increase broadcasting frequency. Simulation results validate that our method outperforms the Trickle timer mechanism in terms of convergence time and energy consumption to disseminate data, especially in a dense LLN.