Foundations of Smart Healthcare: Emerging IoT Technologies in Wireless Sensor Networks
The study examines the relationship between new technologies and healthcare, with a particular emphasis on how WSNs, or wireless sensor networks, and the World of Things (IoT) work together to create smart healthcare systems. The introduction emphasises the need for creative healthcare solutions by highlighting the growth in life expectancy throughout the world and the resulting issues created by an ageing society. The literature study explores WSN-based communication technologies for healthcare, including standards and technology for both Low Power Wide-Area Networks (LP-WAN) and Low Rate Wireless Small Area Networks. Security and privacy issues in smart healthcare are also covered. The section on the suggested methodology describes the latest advancements and applications in smart healthcare, with a focus on application domains, system architectures, and the function of crowd and crowdsensing in these applications. There is discussion of the technical obstacles in intelligent health care design as well as the issues in crowdsourcing and crowdsensing. The discussion part outlines the essential elements of a successful smart healthcare system, such as energy-efficient equipment, secure communication channels, bandwidth, and Quality of Services (QoS) support. The conclusion emphasises how crucial it is to embrace technological innovations in order to reorganise healthcare systems while also recognising the need of resolving current issues, especially with regard to communication standards that deal with integrity, servicing, dependability, silence, and security. In order to improve early sickness identification and individualised treatment, the study promotes a preventative-focused healthcare approach that makes use of IoT technology, complex algorithms, and artificial intelligence
Authors
- M. Punitha
- G. Devadasu (ORCID: https://orcid.org/0000-0003-2744-7729)
- B Nisha
- Hassan Mohamed (ORCID: https://orcid.org/0000-0002-3679-6907)
- T. Karthikeyan
- Kandula Sandeep
Institutions
- Iraqi University (IQ)
- CMR University (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956270
- Citations
- 1
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 3.25