TY  - JOUR
T1  - Adaptive and Efficient Routing in Robotic MANETs
AU  - Cha, Hyeongheon 
AU  - Lee, Taeckyung 
AU  - Yoon, Dong-Hwan 
AU  - Lim, Eun-Jae 
AU  - Sun, Jung-Kyu 
AU  - Lee, Sung-Ju 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.1.82
KW  - Mobile ad hoc networks
KW  - routing
KW  - robotic swarm
AB  - 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.