MoBAN: A Configurable Mobility Model for Wireless Body Area Networks

Abstract

A good mobility model is an essential prerequisite for performance evaluation of protocols for wireless networks with node mobility. Sensor nodes in a Wireless Body Area Network (WBAN) exhibit high mobility. The WBAN topology may completely change because of posture changes and movement even within a certain type of posture. The WBAN also moves as a whole in an ambient network. Therefore, an appropriate mobility model is of great importance for performance evaluation. This paper presents a comprehensive configurable mobility model MoBAN for evaluating intraand extra-WBAN communication. It implements different postures as well as individual node mobility within a particular posture. The model can be adapted to a broad range of applications for WBANs. The model is made available through http://www.es.ele.tue.nl/nes/, as an add-on to the mobility framework of the OMNeT++ simulator. Two case studies illustrate the use of the mobility model for performance evaluation of network protocols.

Performance of Mobility Models with different Routing Protocols by using Simulation Tools for WSN: A Review

“…The model is useful for simulating both intra-WBAN, where communication between various node in network and extra-WBAN protocols, where communications among a WBAN and its environment [24].…”

“…OMNeT++ simulation tool with mixim framework by integrating WBAN communication protocols and applications by which performance evaluation of MOBAN undertaken [24] .One of most Challenging part for wireless sensor networks are how to maintain network life with sensors, this challenging task solution has been investigated by using mobility-assisted data collection (MADC) model with various network parameter [25] .…”

“…It supports MAC and some localized protocol and can simulate power consumptions and channel control [4,5,24,11,12].…”

Future body-to-body networks for ubiquitous healthcare: a survey, taxonomy and challenges

“…The work in [14] presents a comprehensive configurable mobility model (MoBAN) for evaluating intra and extra-WBAN communication. It implements different postures as well as individual node mobility within a particular posture.…”

“…Especially for BBN ubiquitous healthcare applications, accurate mobility prediction is necessary for critical tasks related to the routing of medical data among mobile WBANs, such as call admission control, congestion control, reservation of network resources, preconfiguration of services and QoS provisioning. Several works have considered the mobility prediction issue in mobile networks context [13], [14], [15], [16].…”