Trickle-L<sup>2</sup>: Lightweight link quality estimation through Trickle in RPL networks-Reference-Cited by-同舟云学术

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Trickle-L²: Lightweight link quality estimation through Trickle in RPL networks

Published:2014-06 Issue: Volume: Page:
ISSN:
Container-title:Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014
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Author:

Ancillotti Emilio,Bruno Raffaele,Conti Marco,Mingozzi Enzo,Vallati Carlo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6912450/6918912/06918951.pdf?arnumber=6918951

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BROF : An Efficient Tree Construction Method Using Passive Link Quality Estimation for a Wireless Sensor Network;Journal of Information Processing;2024

2. L-RPL: RPL powered by laplacian energy for stable path selection during link failures in an Internet of Things network;Computer Networks;2021-01

3. Development and Performance Analysis of HRPL Using 6LoWPAN CC2538 Module for IoT Ecosystem;Advances in Science, Technology and Engineering Systems Journal;2020-12

4. Evaluating and improving the scalability of RPL security in the Internet of Things;Computer Communications;2020-02

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