Skip to Main content Skip to Navigation

Peak Transmission Rate Resilient Crosslayer Broadcast for Body Area Networks

Wafa Badreddine 1 Maria Potop-Butucaru 1
1 NPA - Networks and Performance Analysis
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Wireless Body Area Networks (WBAN) open an interdisciplinary area within Wireless Sensor Networks (WSN) research, with a tremendous impact in healthcare area where sensors are used to monitor, collect and transmit biological parameters of the human body. We propose the rst network-MAC cross-layer broadcast protocol in WBAN. Our protocol, evaluated in the OMNET++ simulator enriched with realistic human body mobility models and channel models issued from the recent research on biomedical and health informatics, outperforms existing at broadcast strategies in terms of percentage of covered nodes, energy consumption and correct reception of causally-ordered packets (i.e. packets are received in the same order as they were sent by the sink). Furthermore, we investigate the resilience of both existing at broadcast strategies and our new protocol face to various transmission rates and human body mobility. Existing at broadcast strategies without exception start to have a drastic drop of performances for transmission rates above 11Kb/s while our cross-layer protocol performances maintains its good performances for transmission rates up to 190Kb/s.
Document type :
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download
Contributor : Wafa Badreddine <>
Submitted on : Thursday, February 16, 2017 - 12:19:36 PM
Last modification on : Thursday, March 21, 2019 - 2:31:15 PM
Long-term archiving on: : Wednesday, May 17, 2017 - 3:07:35 PM


Files produced by the author(s)


  • HAL Id : hal-01469314, version 1
  • ARXIV : 1702.05031


Wafa Badreddine, Maria Potop-Butucaru. Peak Transmission Rate Resilient Crosslayer Broadcast for Body Area Networks. [Research Report] UPMC - Paris 6 Sorbonne Universités; UPMC - Université Paris 6 Pierre et Marie Curie; LIP6 UMR 7606, UPMC Sorbonne Universités, France. 2017, pp.15 - 15. ⟨hal-01469314⟩



Record views


Files downloads