Adaptive and Efficient Routing in Robotic MANETs 


Vol. 50,  No. 1, pp. 82-94, Jan.  2025
10.7840/kics.2025.50.1.82


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  Abstract

Maintaining efficient communication is crucial in dynamic and resource-constrained environments such as military operations involving swarm robots. Due to their high computation and communication, traditional protocols such as Optimized Link State Routing (OLSR) often struggle with frequent topology changes and limited resources. We propose Adaptive Hello OLSR (AH-OLSR) and Adaptive Hello Expected Transmission Count (AH-ETX), which dynamically adjust control message intervals based on neighboring nodes’ mobility. Our approach minimizes overhead and improves network throughput without modifying the message structure of OLSR. Simulation results demonstrate that AH-OLSR and AH-ETX significantly enhance efficiency (throughput normalized by control overhead), achieving up to a 143% increase compared with OLSR with static intervals. These advancements make AH-OLSR and AH-ETX suitable for real-world robotic swarm applications, supporting robust communication in challenging conditions.

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[IEEE Style]

H. Cha, T. Lee, D. Yoon, E. Lim, J. Sun, S. Lee, "Adaptive and Efficient Routing in Robotic MANETs," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 1, pp. 82-94, 2025. DOI: 10.7840/kics.2025.50.1.82.

[ACM Style]

Hyeongheon Cha, Taeckyung Lee, Dong-Hwan Yoon, Eun-Jae Lim, Jung-Kyu Sun, and Sung-Ju Lee. 2025. Adaptive and Efficient Routing in Robotic MANETs. The Journal of Korean Institute of Communications and Information Sciences, 50, 1, (2025), 82-94. DOI: 10.7840/kics.2025.50.1.82.

[KICS Style]

Hyeongheon Cha, Taeckyung Lee, Dong-Hwan Yoon, Eun-Jae Lim, Jung-Kyu Sun, Sung-Ju Lee, "Adaptive and Efficient Routing in Robotic MANETs," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 1, pp. 82-94, 1. 2025. (https://doi.org/10.7840/kics.2025.50.1.82)
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