Short-term link quality estimation for Opportunistic and Mobility Aware Routing in wearable body sensors networks
Author | Ben Hamida, Elyes |
Author | Alam, Muhammad Mahtab |
Author | Maman, Mickael |
Author | Denis, Benoît |
Available date | 2025-10-20T06:24:59Z |
Publication Date | 2014-11-18 |
Publication Name | International Conference on Wireless and Mobile Computing Networking and Communications |
Identifier | http://dx.doi.org/10.1109/WiMOB.2014.6962220 |
Citation | E. Ben Hamida, M. M. Alam, M. Maman and B. Denis, "Short-term link quality estimation for Opportunistic and Mobility Aware Routing in wearable body sensors networks," 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Larnaca, Cyprus, 2014, pp. 519-526, doi: 10.1109/WiMOB.2014.6962220. |
ISBN | [9781479950416] |
ISSN | 21619646 |
Abstract | This paper investigates the issues related to the link quality estimation and routing performance in highly dynamic WBSNs, where the inherent body mobility introduces frequent time and space variations in the observed link reliability and network connectivity. A new Opportunistic and Mobility Aware Routing (OMAR) protocol is proposed, which optimizes the routing process by taking benefit from captured long-term and short-term link behavior. Extensive simulations are performed using realistic WBSNs mobility and channel modeling, and representative MAC constraints. The obtained results show that the proposed OMAR approach outperforms conventional routing protocols in terms of energy consumption and routing path length, while ensuring a stable packet delivery ratio. |
Sponsor | The work was supported by NPRP grant #[6–1508-2–616] from the Qatar National Research Fund which is a member of Qatar Foundation. The statements made herein are solely the responsibility of the authors. |
Language | en |
Publisher | IEEE |
Subject | Body Area Networks Opportunistic Routing Radio Link Quality Estimation Space-Time Varying Radio Channel Model Wearable Wireless Sensors Networks |
Type | Conference |
Pagination | 519-526 |
ESSN | 2160-4894 |
Files in this item
This item appears in the following Collection(s)
-
QMIC Research [307 items ]