# SLMAS: A Secure and Light Weight Mutual Authentication Scheme for the Smart Wheelchair
###### Abstract  
The modern innovation called the Internet of Things (IoT) empowers individuals to connect to anybody and anything at any point, wherever. The application of the IoT in smart cities concerning smart healthcare management can improve patient welfare, user acceptance, the standard of living, and accurate illness monitoring. Powered wheelchairs (PW) with sensors, computers, and other connected assistive technologies are called smart wheelchairs. Smart wheelchairs with sensing abilities are intended to offer universal connectivity using cloud and edge computing technology. Numerous outstanding people were impacted by paralyzing phenomena, including [PERSON] and [PERSON]. The issue of legitimacy is one of the most important difficulties in e-health applications, because of how sensitive the technology is, and this needs to be appropriately handled. To safeguard the data transport, usage, and interchange between sensor nodes/smart wheelchairs and servers, e-health applications require an authentication method. As all conversations use wireless channels, e-health apps are exposed to various vulnerabilities. Additionally, the IoT has limited computational and power capacity limitations. To combat the various security risks, the present research offers a user authentication technique that is efficient and ensures anonymity. The suggested method creates a safe connection for the authorized entity and forbids unauthorized entities from accessing the Internet of Things sensor nodes. The suggested approach has lower communication and computation overheads than the traditional techniques, making it more effective. In addition, the security verification of the presented protocol is scrutinized through AVISPA. The proposed scheme, on average, requires only 12.4% more computation cost to execute. Compared to the existing approaches, the suggested protocol's extra computational cost can be compensated for by its enhanced security, while the suggested method's communication cost is 46.3% smaller. AVISPA; smart city; smart wheelchair; edge and cloud computing; Internet of Things (IoT); sensors; authentication; protocols; security +
Footnote †: journal:  
wheelchairs, to assist users in getting around and moving safely without assistance. This research presents another effort to provide safety to mobility impaired humans during the Hajj and Umrah services [9]. The term \"Internet of Things\" (IoT) refers to enormous networks that combine the Internet with a variety of sensing technologies, to achieve the connection of people, machines, and things at whichever time and at any location, which has become crucial in the age of information. Wireless sensor systems are managed by connecting small nodes [10] or devices through Zigbee, Bluetooth, or WiFi. The IoT in smart cities can have various futuristic applications, especially in healthcare and assistive technology. One such application is the development of intelligent wheelchairs that utilize WSNs for tracking and monitoring the location and movements of the wheelchair user. This can aid in providing better assistance and care for people with mobility impairments, as presented in Figure 1. Smart wheelchairs with sensing abilities are intended to offer universal connectivity using cloud and edge computing technology. Another application can be using WSNs for asset tracking in industry, such as tracking the movement and location of goods and products within a warehouse or during transportation. This can improve inventory management and logistics. WSNs can also be used in agriculture for tracking the movement and location of livestock, crops, and equipment. This can aid in improving the overall efficiency and productivity of farms and enable better management of resources. In smart cities, WSNs can be used for traffic management, monitoring air quality, and detecting environmental hazards. This can make cities more sustainable, efficient, and safer for citizens.