Paper
20 October 2023 Load balancing routing improvement research based on contiki
Wei Xia, Fei Ju, Tengfei Dong
Author Affiliations +
Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128142B (2023) https://doi.org/10.1117/12.3010584
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China
Abstract
Low Power Lossy network (LLN) plays a significant role in the fields of battlefield target positioning, environmental investigation and monitoring, battlefield effect evaluation, and anti -terrorism equipment research. This article proposes a "active burden reduction" load balancing routing algorithm WB-RPL (Workload Balanced Routing Protocol In LLN). The new algorithm introduces the mechanism of "overload node avoidance", "selection of second -best father nodes", and "neighborhood entry update" mechanism, and realizes network load balancing. The algorithm simulation analysis was analyzed through the COOJA, and the results showed that the load balancing performance of the WB-RPL algorithm on the network under the same network scale increased the load balancing performance of the key node in the network by 57%compared to the RPL algorithm, which could make the relative load equilibrium between nodes at all levels of the network.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wei Xia, Fei Ju, and Tengfei Dong "Load balancing routing improvement research based on contiki", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128142B (20 October 2023); https://doi.org/10.1117/12.3010584
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KEYWORDS
Computer simulations

Data transmission

Electroluminescent displays

Data modeling

Design and modelling

Detection and tracking algorithms

Environmental monitoring

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