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Issam Eddine Lakhlef

dblp:402/4888 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-3845-891XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 44% Internet architecture and protocols · 28% Routing and switching · 22%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › iot networks › iot communication
iot communication protocols
0.912025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025
Internet of things and sensor networks › low-power wireless
low-power and lossy networks
0.912025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025
Routing and switching
multicast routing
0.912025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025
Internet architecture and protocols › multicast
multicast tree
0.912025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025
Internet architecture and protocols
multicast
0.312025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025
Wireless networking › interference modeling
SINR model
0.312025
PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks · IEEE Trans. Mob. Comput. 2025

Methods — techniques the papers use, named apart from their topics

retransmission · 0.9multicast distribution tree · 0.9multi-path dissemination · 0.9
YearPublicationVenuePosition
2025 PIM-LLN: Protocol Independent Multicast for Low-Power and Lossy Networks
abstract
In resource-constrained Internet of Things (IoT) environments like Low-power and Lossy Networks (LLNs), efficient communication protocols are essential. In this context, IP multicast protocols play a crucial role, facilitating the transmission of data packets from a single source to multiple recipients, thereby conserving bandwidth, power, and time for numerous LLN applications, such as over-the-air programming, information dissemination, and device configuration. Despite their usefulness, existing multicast solutions face several challenges, including scalability, energy efficiency, and reliability. To tackle such issues, this paper introduces Protocol Independent Multicast for LLNs (PIM-LLN). PIM-LLN employs a multicast distribution tree anchored at the border router, a multi-path data dissemination mechanism, and an efficient retransmission technique to route streams exclusively to regions with group members reducing energy consumption and bandwidth usage while improving response times and reliability. Through comprehensive simulations and public testbed experiments, we meticulously assess PIM-LLN’s performance, benchmarking it against state-of-the-art solutions under different scenarios. Our findings underscore the scalability, reliability, reduced latency, and efficient resource utilization of PIM-LLN in terms of memory, bandwidth, and energy. Notably, PIM-LLN, as compared to state-of-the-art solutions, achieves a similar level of reliability while reducing overhead by up to 50%.
Issam Eddine Lakhlef, Badis Djamaa, Mustapha Réda Senouci, Abbas Bradai, Yahia Mohamed Cherif
IEEE Trans. Mob. Comput.1