Evidence map›Paper›PMID 27104537›Full record

ArticleSensors (Basel, Switzerland)2016

Realistic Simulation for Body Area and Body-To-Body Networks.

Muhammad Mahtab Alam, Elyes Ben Hamida, Dhafer Ben Arbia, Mickael Maman, Francesco Mani, Benoit Denis, Raffaele D'Errico

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Muhammad Mahtab AlamQatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. mahtaba@qmic.com.
Elyes Ben HamidaQatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. elyesb@qmic.com.
Dhafer Ben ArbiaQatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. dhafera@qmic.com.
Mickael MamanCEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. mickael.maman@cea.fr.
Francesco ManiCEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. Francesco.MANI@cea.fr.
Benoit DenisCEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. benoit.denis@cea.fr.
Raffaele D'ErricoCEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. raffaele.derrico@cea.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we present an accurate and realistic simulation for body area networks (BAN) and body-to-body networks (BBN) using deterministic and semi-deterministic approaches. First, in the semi-deterministic approach, a real-time measurement campaign is performed, which is further characterized through statistical analysis. It is able to generate link-correlated and time-varying realistic traces (i.e., with consistent mobility patterns) for on-body and body-to-body shadowing and fading, including body orientations and rotations, by means of stochastic channel models. The full deterministic approach is particularly targeted to enhance IEEE 802.15.6 proposed channel models by introducing space and time variations (i.e., dynamic distances) through biomechanical modeling. In addition, it helps to accurately model the radio link by identifying the link types and corresponding path loss factors for line of sight (LOS) and non-line of sight (NLOS). This approach is particularly important for links that vary over time due to mobility. It is also important to add that the communication and protocol stack, including the physical (PHY), medium access control (MAC) and networking models, is developed for BAN and BBN, and the IEEE 802.15.6 compliance standard is provided as a benchmark for future research works of the community. Finally, the two approaches are compared in terms of the successful packet delivery ratio, packet delay and energy efficiency. The results show that the semi-deterministic approach is the best option; however, for the diversity of the mobility patterns and scenarios applicable, biomechanical modeling and the deterministic approach are better choices.

Indexed as

Human BodyWireless TechnologyAlgorithmsBiomechanical PhenomenaComputer Communication NetworksHumansModels, TheoreticalMonitoring, AmbulatoryTelemetryaccurate mobility and radio link modelingbody area networks (BAN)body-to-body networks (BBN)deterministic channel and mobility modelingIEEE 802.15.6 Standardrealistic simulationsemi-deterministic channel modeling

Identifiers

PMID27104537
PMCPMC4851075

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.