AnyBody: a self-organization protocol for body area networks

Watteyne, Thomas; Augé-Blum, Isabelle; Döhler, Mischa; Barthel, Dominique

doi:10.4108/bodynets.2007.186

Cited by 96 publications

(52 citation statements)

References 19 publications

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“…An example is shown on Figure 2. The former controls the information handling on the body between the sensors or actuators and the personal device [34][35][36][37], the latter ensures communication between the personal device and an external network [32,[38][39][40]. Doing so, the medical data from the patient at home can be consulted by a physician or stored in a medical database.…”

Section: Positioning Wbansmentioning

confidence: 99%

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A Comprehensive Survey of Wireless Body Area Networks

Higgins²,

et al. 2010

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The increasing use of wireless networks and the constant miniaturization of electrical devices has empowered the development of Wireless Body Area Networks (WBANs). In these networks various sensors are attached on clothing or on the body or even implanted under the skin. The wireless nature of the network and the wide variety of sensors offer numerous new, practical and innovative applications to improve health care and the Quality of Life. The sensors of a WBAN measure for example the heartbeat, the body temperature or record a prolonged electrocardiogram. Using a WBAN, the patient experiences a greater physical mobility and is no longer compelled to stay in the hospital. This paper offers a survey of the concept of Wireless Body Area Networks. First, we focus on some applications with special interest in patient monitoring. Then the communication in a WBAN and its positioning between the different technologies is discussed. An overview of the current research on the physical layer, existing MAC and network protocols is given. Further, cross layer and quality of service is discussed. As WBANs are placed on the human body and often transport private data, security is also considered. An overview of current and past projects is given. Finally, the open research issues and challenges are pointed out.

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Section: Positioning Wbansmentioning

confidence: 99%

“…"Anybody" [35] is a data gathering protocol that uses clustering to reduce the number of direct transmissions to the remote base station. It is based on LEACH [85] that randomly selects a cluster head at regular time intervals in order to spread the energy dissipation.…”

Section: Cluster Based Routingmentioning

confidence: 99%

A Comprehensive Survey of Wireless Body Area Networks

Higgins²,

et al. 2010

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“…These protocols are concern with body heat and to find alternate path. Few LEACH based clustered routing protocols are also presented [6]. At MAC layer, it is useful to implement wireless sensor protocols in WBAN [7].…”

Section: Introductionmentioning

confidence: 99%

Multi-Channel Framework for Body Area Network in Health Monitoring

Alrajeh¹,

Khan²,

Campbell³

et al. 2013

Appl. Math. Inf. Sci.

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Increasing use of wireless networks has empowered the facility of ubiquitous health monitoring especially in advanced countries. Various small devices are attached to human body forming personalized wireless body area network (WBAN). These small devices interact with each other using different radios and antennas schemes proposed by many researchers around the globe. However, most of these schemes are facing problem of inefficiency due to fading and shadowing effects. We propose a novel multi-radio multichannel framework for efficient communication among devices in WBAN. The focus of this research is to ensure energy efficient and reliable communication in WBAN.

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“…With regard to related work on the self-organization of body sensor networks (e.g. [8,9]), our approach is novel insofar as it (i) hierarchically organizes the sensors according to the anatomy of the human body, whereby the sensors belonging to a certain body part cooperate in the classification of the respective sub-activities and therewith reduce the overall communication load, and (ii) additionally imposes a data-flow that is optimized for changing sensor configurations and activities.…”

Section: An Approach For Opportunistic Activity Recognitionmentioning

confidence: 99%

A Self-organizing Approach to Activity Recognition with Wireless Sensors

Holzmann

Haslgrübler

2009

Self-Organizing Systems

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Abstract. In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at predefined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.

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AnyBody: a self-organization protocol for body area networks

Cited by 96 publications

References 19 publications

A Comprehensive Survey of Wireless Body Area Networks

A Comprehensive Survey of Wireless Body Area Networks

Multi-Channel Framework for Body Area Network in Health Monitoring

A Self-organizing Approach to Activity Recognition with Wireless Sensors

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