Body Area Networks: Safety, Security, and Sustainability by Sandeep K. S. Gupta, Tridib Mukherjee, Krishna Kumar

By Sandeep K. S. Gupta, Tridib Mukherjee, Krishna Kumar Venkatasubramanian

Physique sector networks (BANs) are networks of instant sensors and clinical units embedded in garments, worn on or implanted within the physique, and feature the aptitude to revolutionize healthcare by means of permitting pervasive healthcare. even if, because of their severe purposes affecting human well-being, demanding situations come up whilst designing them to make sure they're secure for the consumer, sustainable with no requiring common battery replacements and safe from interference and malicious assaults. This publication lays the principles of the way BANs should be redesigned from a cyber-physical structures viewpoint (CPS) to beat those concerns. Introducing state of the art theoretical and functional thoughts and bearing in mind the original environment-coupled features of BANs, the publication examines how we will re-imagine the layout of secure, safe and sustainable BANs. It positive factors real-world case stories, feedback for extra research and venture rules, making it priceless for someone keen on pervasive and cellular healthcare, telemedicine, scientific apps and different cyber-physical platforms.

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Example text

Since the form factor of sensor nodes in the BAN is constrained for easy wearability, the size of the antenna typically is very small. com), the antenna is a quarter-wave dipole antenna that juts out from the PCB. However, in more current versions of the sensor nodes, such as in TelosB, BSN v3, Shimmer, and iMote2, the antenna is embedded in the PCB, where an inverted-F antenna, a miniaturized surface mount antenna, a chip antenna, and a full version of the surface mount antenna are used respectively.

Needless to say, BANs have many diverse applications, including sports health management, home-based healthcare for the elderly, and post-operative care. 1 Architecture A BAN consists of a network of computing units that are used to perform contextaware ubiquitous operations to aid monitoring and autonomous actuation applications in healthcare, and for performance monitoring and giving feedback in military, leisure, and sports applications. , smart phones) than the worker nodes, and are used for disseminating information to and collecting information from the worker nodes.

In this regard, it provides a performance-management subsystem. The idea is to allow developers to plug in their protocols, change the properties of the system, and measure the protocol’s performance. Two services enable this feature. – Performance-analysis service. This is a cross-layer service that is used to obtain performance metrics from the system-management service. This is different from the query processor, which queries patient-related data. – System-customization services. , change the bandwidth available to specific medical sensors).

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