BAND-AiDe: A tool for cyber-physical oriented analysis and design of body area networks and devices

Ayan Banerjee, Sailesh Kandula, Tridib Mukherjee, Sandeep Gupta

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Body area networks (BANs) are networks of medical devices implanted within or worn on the human body. Analysis and verification of BAN designs require (i) early feedback on the BAN design and (ii) highconfidence evaluation of BANs without requiring any hazardous, intrusive, and costly deployment. Any design of BAN further has to ensure (i) the safety of the human body, that is, limiting any undesirable side-effects (e.g., heat dissipation) of BAN operations (involving sensing, computation, and communication among the devices) on the human body, and (ii) the sustainability of the BAN operations, that is, the continuation of the operations under constrained resources (e.g., limited battery power in the devices) without requiring any redeployments. This article uses the Model Based Engineering (MBE) approach to perform design and analysis of BANs. In this regard, first, an abstract cyber-physical model of BANs, called BANCPS, is proposed that captures the undesirable side-effects of the medical devices (cyber) on the human body (physical); second, a design and analysis tool, named BAND-AiDe, is developed that allows specification of BAN-CPS using industry standard Abstract Architecture Description Language (AADL) and enables safety and sustainability analysis of BANs; and third, the applicability of BAND-AiDe is shown through a case study using both single and a network of medical devices for health monitoring applications.

Original languageEnglish (US)
Article number49
JournalTransactions on Embedded Computing Systems
Issue numberSUPPL. 2
StatePublished - Aug 1 2012


  • AADL
  • Body area networks
  • Model-based engineering
  • Wireless health systems

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture


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