VADiRSYRem: VANET-Based Diagnosis and Response System for Remote Locality

被引：0

作者：

DasGupta S. ^{[1
]}

Choudhury S. ^{[2
]}

Chaki R. ^{[3
]}

机构：

[1] Department of Information Technology, JIS College of Engineering, West Bengal, Kalyani

[2] Department of Computer Science and Engineering, University of Calcutta, West Bengal, Kolkata

[3] A. K. Choudhury School of Information Technology, University of Calcutta, West Bengal, Kolkata

来源：

SN Computer Science | 2021年 / 2卷 / 1期

关键词：

IoT based; Remote healthcare system; Smart vehicles; Vehicular ad hoc networks; ZigBee-enabled wireless sensor nodes;

D O I：

10.1007/s42979-020-00430-6

中图分类号：

学科分类号：

摘要：

The advancement in telemedicine has been helpful in the development of smart healthcare in urban and rural areas. In India, however, this solution often falls short of connecting the remote villages with modern healthcare due to the difficulty in accessibility. In a developing country like India, consisting of geographically remote settlements, it is not feasible to provide infrastructure-based health support to all. To conquer this difficulty, an alternative solution is required in which the existing network infrastructure is not essential for the communication purposes. The main objective of this proposal is to provide an alternative approach for the transmission of health care related messages. It is also important to minimize the cost of this type of healthcare services by avoiding the establishment of communication network across the country. Here, we propose the framework of an IoT-based system to work as an aid for quicker diagnosis and health support for the remote villagers. We have used vehicular ad hoc network for cost-effective and fast data transportation, besides other advantages. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature.

引用

共 28 条

[1]

(2017)

[2]

Gope P., Hwang T., BSN-care: a secure IoT-based modern healthcare system using body sensor network, IEEE Sens J, 16, (2016)

[3]

Jansi R., Amutha R., Radha S., Remote monitoring of children with chronic illness using wearable vest, Telemedicine Technologies, Book: Telemedicine Technologies, pp. 121-137, (2019)

[4]

Gopu G., Anitha T., Nagarajapandian M., Prabhakaran M., Investigation of telecardiology system to detect cardiac abnormalities, Telemed Technol, 2019, pp. 43-55, (2019)

[5]

Wu T., Redoute J., Yuce M., An autonomous wireless body area network implementation towards IoT connected healthcare applications, IEEE Access, 2017, (2017)

[6]

Naranjo P.G.V., Shojafar M., Mostafaei H., Pooranian Z., Baccarelli E., P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks, J Supercomput, 73, pp. 733-755, (2017)

[7]

Saleh N., Kassem A., Haidar A.M., Energy-efficient architecture for wireless sensor networks in healthcare applications, IEEE Access, 6, pp. 6478-6486, (2018)

[8]

Zhang H., Zhang H., Pirbhulal S., Wu W., Albuquerque V.H.C.D., Active balancing mechanism for imbalanced medical data in deep learning-based classification models, ACM Trans Multimedia Comput Commun Appl, 16, pp. 39-54, (2020)

[9]

Pirbhulal S., Samuel O.W., Wu W., Sangaiah A.K., Li G., A joint resource-aware and medical data security framework for wearable healthcare systems, Future Gener Comput Syst, 95, pp. 382-391, (2019)

[10]

Am T., Dm W., Kb E., Ms M., Jc G.G.S., Telehealth: Mapping the evidence for patient outcomes from systematic reviews, Technical Brief No. 26, AHRQ Publication No. 16-EHC034-EF

← 1 2 3 →