A survey on wireless body area networks

By Benoît Latré, Bart Braem, Ingrid Moerman, Chris Blondia, Piet Demeester. Wirel. Networks, 2011

1,182 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8a45ee6b1a963521abed03875091e1d7f41949f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

In Computer Networks and Communications

Citations in the corpus

A Survey on Wireless Body Area Networks: Technologies and Design Challenges (2014, background): “Finally, particular emphasis is given in [21], [22] to routing protocols and cross-layer approach to improve the performance.”
A Survey on Intrabody Communications for Body Area Network Applications (2013, methodology): “networks around the human body, using RF transmission technology [7].”
Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications (2017, background): “2 depicts that the devices are spread throughout in a network, with the location of the device being tied to a certain application [17].”
Advanced lightweight encryption algorithms for IoT devices: survey, challenges and solutions (2017, neutral): “…for the lightweight cryptography algo-rithm include the Wireless Sensor Network (WSN) (Yick et al. 2008) RFID, Wireless Body Area Network (WBAN) (Latré et al. 2011) IoT, smart cards, etc. IoT supports creating connections and building networks between dissimilar objects or devices in the…”
Federated Learning Based on Dynamic Regularization (2021, background): “To overcome these issues, we revisit the FL problem, and view it primarily from a communication perspective, with the goal of minimizing communication, and as such allowing for significantly more processing and optimization at the device level , since communication is the main source of energy consu”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “The secure integration of wireless body area networks (WBAN) with cloud computing platforms and Internet of Things (IoT) networks has been considered as another major challenge in healtcare applications [18].”
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, background): “The current vision for a smart health system revolves around sensors that are deployed close to the patient’s body [54], [55], or in the surrounding environment [56], [57].”
A Survey of Wearable Devices and Challenges (2017, background): “have been published in the past [12], they do not capture the recent developments related to wearables.”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “Secondly, the nodes that form the network can be very heterogeneous in terms of available energy or computing power [177].”
A Survey on Ambient Intelligence in Health Care (2013, neutral): “In a BAN, various sensors are attached on clothing or on the body or even implanted under the skin [12].”
Wireless Body Area Networks: A Survey (2014, background): “A gateway such as a PDA can be used to bridge the connection between Tier-2 and this tier; in essence from the Internet to the Medical Server (MS) in a specific application [8].”
The Cluster Between Internet of Things and Social Networks: Review and Research Challenges (2014, background): “Weaving the social/contextual data and relationships available within online social networks with physical thing worlds will ultimately reach this goal.”