EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks

Jothi Prasanna Shanmuga Sundaram; Magzhan Gabidolla; Luis Fujarte; Shawn Duong; Jianlin Guo; Toshiaki Koike-Akino; Pu; Wang; Kieran Parsons; Philip V. Orlik; Takenori Sumi; Yukimasa Nagai; Miguel A. Carreira-Perpinan; Alberto E. Cerpa

arXiv · 2602.17619

EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks

Jothi Prasanna Shanmuga Sundaram·Magzhan Gabidolla·Luis Fujarte·Shawn Duong·Jianlin Guo·Toshiaki Koike-Akino·Pu·Wang·Kieran Parsons·Philip V. Orlik·Takenori Sumi·Yukimasa Nagai·Miguel A. Carreira-Perpinan·Alberto E. Cerpa

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Abstract

Emerging IoT applications are transitioning from battery-powered to grid-powered nodes. DRP, a contention-based data dissemination protocol, was developed for these applications. Traditional contention-based protocols resolve collisions through control packet exchanges, significantly reducing goodput. DRP mitigates this issue by employing a distributed delay timer mechanism that assigns transmission-start delays based on the average link quality between a sender and its children, prioritizing highly connected nodes for early transmission. However, our in-field experiments reveal that DRP is unable to accommodate real-world link quality fluctuations, leading to overlapping transmissions from multiple senders. This overlap triggers CSMA's random back-off delays, ultimately degrading the goodput performance. To address these shortcomings, we first conduct a theoretical analysis that characterizes the design requirements induced by real-world link quality fluctuations and DRP's passive acknowledgments. Guided by this analysis, we design EDRP, which integrates two novel components: (i) Link-Quality Aware CSMA (LQ-CSMA) and (ii) a Machine Learning-based Block Size Selection (ML-BSS) algorithm for rateless codes. LQ-CSMA dynamically restricts the back-off delay range based on real-time link quality estimates, ensuring that nodes with stronger connectivity experience shorter delays. ML-BSS algorithm predicts future link quality conditions and optimally adjusts the block size for rateless coding, reducing overhead and enhancing goodput. In-field evaluations of EDRP demonstrate an average goodput improvement of 39.43\% than the competing protocols.

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Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Luis Fujarte, Shawn Duong, Jianlin Guo, Toshiaki Koike-Akino, Pu, Wang, Kieran Parsons, Philip V. Orlik, Takenori Sumi, Yukimasa Nagai, Miguel A. Carreira-Perpinan, Alberto E. Cerpa. 2026-02-19. EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks. https://arxiv.org/abs/2602.17619

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