Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond 2020
DOI: 10.1145/3414045.3415944
|View full text |Cite
|
Sign up to set email alerts
|

DIO messages and trickle timer analysis of RPL routing protocol for UAV-assisted data collection in IoT

Abstract: Routing protocol for low-power and lossy networks (RPL) is an widely-used IPv6 routing protocol for lossy wireless networks with the power constrained devices in Internet of Things (IoT). It is a proactive protocol that constructs a destination oriented directed acyclic graph (DODAG) rooted at the single destination called the root node that resides at unmanned aerial vehicle (UAV). Specifically, a DODAG is built with the help of different control messages like DODAG information object (DIO), DODAG advertiseme… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…Therefore, the transmission of control packets is accelerated and decelerated by the trickle timer algorithm only when necessary. Specifically, the pace of control packet transmission is increased when there is an instability in the network whereas it is slowed down when the network is rather in a stable state (Hazarika, Matam, Mukherjee & Menon, 2020).…”
Section: Rpl: Routing Protocol For Low-power and Lossy Networkmentioning
confidence: 99%
“…Therefore, the transmission of control packets is accelerated and decelerated by the trickle timer algorithm only when necessary. Specifically, the pace of control packet transmission is increased when there is an instability in the network whereas it is slowed down when the network is rather in a stable state (Hazarika, Matam, Mukherjee & Menon, 2020).…”
Section: Rpl: Routing Protocol For Low-power and Lossy Networkmentioning
confidence: 99%