Title |
A Comprehensive Survey of Wireless Body Area Networks
|
---|---|
Published in |
Journal of Medical Systems, August 2010
|
DOI | 10.1007/s10916-010-9571-3 |
Pubmed ID | |
Authors |
Sana Ullah, Henry Higgins, Bart Braem, Benoit Latre, Chris Blondia, Ingrid Moerman, Shahnaz Saleem, Ziaur Rahman, Kyung Sup Kwak |
Abstract |
Recent advances in microelectronics and integrated circuits, system-on-chip design, wireless communication and intelligent low-power sensors have allowed the realization of a Wireless Body Area Network (WBAN). A WBAN is a collection of low-power, miniaturized, invasive/non-invasive lightweight wireless sensor nodes that monitor the human body functions and the surrounding environment. In addition, it supports a number of innovative and interesting applications such as ubiquitous healthcare, entertainment, interactive gaming, and military applications. In this paper, the fundamental mechanisms of WBAN including architecture and topology, wireless implant communication, low-power Medium Access Control (MAC) and routing protocols are reviewed. A comprehensive study of the proposed technologies for WBAN at Physical (PHY), MAC, and Network layers is presented and many useful solutions are discussed for each layer. Finally, numerous WBAN applications are highlighted. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Canada | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 4 | 1% |
Portugal | 2 | <1% |
United States | 2 | <1% |
Australia | 2 | <1% |
Switzerland | 1 | <1% |
Cyprus | 1 | <1% |
Germany | 1 | <1% |
Korea, Democratic People's Republic of | 1 | <1% |
India | 1 | <1% |
Other | 6 | 2% |
Unknown | 249 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 82 | 30% |
Student > Master | 50 | 19% |
Researcher | 21 | 8% |
Student > Bachelor | 17 | 6% |
Student > Doctoral Student | 13 | 5% |
Other | 45 | 17% |
Unknown | 42 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 96 | 36% |
Engineering | 89 | 33% |
Medicine and Dentistry | 6 | 2% |
Business, Management and Accounting | 4 | 1% |
Nursing and Health Professions | 3 | 1% |
Other | 22 | 8% |
Unknown | 50 | 19% |