# Vehicular Alarm System Using mHealth Data and Lightweight Security Algorithms
## 2 Related Works
Rapid technology advancement and innovation have resulted in a fast-growing global market that currently offers more than 1.5 million different mobile medical devices for self-monitoring personal health. To date, health device manufacturers have primarily provided products and services for consumers who are either fitness or health conscious, or who are chronically ill and require regular monitoring of their health status. In addition, due to the increasing aging population and overload of healthcare systems, there arises a need for ubiquitous healthcare services with mobile devices to facilitate remote monitoring and diagnosis through computer-based mobile healthcare (mHealthcare) systems for effectively managing a person's health. In addition, with the emergence of wearable devices and smart phones, the younger population is also motivated towards personalized health. Certain health conditions such as sleep apnea are often found with greater incidence in truck drivers resulting in excessive daytime sleepiness due to their sedentary lifestyle. However, mHealth technologies have not been explored in combination with vehicular technologies. A survey to integrate the internet of things (IoT) network for healthcare technologies proposed a network architecture including various platforms and applications using the protocol stack of IPv6 and low-power wireless personal area networks (6 LoWPAN) [7]. They also proposed an intelligent security model, which looks at security requirements, attacks taxonomies and threat models, and is important to minimize security risks in healthcare systems. The Wireless body area network (WBAN) and Vehicular Ad hoc Networks (VANETs) can be combined to detect various human states such as drowsiness levels, intoxication, distractibility, and disorders of emotion using physiological information inputs [8]. This can be further extended to detect other states using sensed vitals data and other physiological statuses, as we proposed in this paper. Security is critical in dealing with health data, and methods to provide optimal security measures for WBAN alongside the reduction of energy consumption in sensor devices have been comprehensively reviewed [9]. This paper further investigates and proposes the enhancement of security aspects when mHealth is integrated with VANETs. Previous studies have been conducted to find the percentage of accidents with drivers who fall under the category of snorers, apneic or controls, or other non-health related factors such as the number of years of similar driving experience, age, and other demographic factors. Similarly, vehicular characteristics have also been studied to improve the design of vehicles for long distance driving. However, there is a lack of research in combining the data from both the driver's mHealth technologies as well as vehicular sensors, which can provide more scope to address the vehicular safety problems in addressing road accidents. This forms the prime motivation for this research to propose a novel vehicular sensor system that integrates data from the driver's mHealth wearable devices as well as sensors mounted in the vehicle to provide timely warnings and/or alarms for drivers to take necessary actions and safety precautions before the possibility of a potential road accident. When the driver is not responding to the alarm notification, or unable to take an action suggested, the proposed system will actuate or take appropriate actions, according to pre-defined procedures.