Real time heart attack mobile detection iot use case for sdn
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The document discusses the Real-Time Heart Attack Mobile Detection Service (RHAMDS), an IoT application that enhances emergency response and vehicle safety using Software Defined Networking (SDN) and Mobile Edge Computing (MEC). It outlines the system's architecture, which utilizes smart devices to detect heart-related emergencies while driving and automatically notify nearby hospitals, alongside features like voice and gesture control. Future developments aim to integrate ECG sensors for more accurate heart attack detection.
Real time heart attack mobile detection iot use case for sdn
- 1. Real-time heart attack mobile detection service (RHAMDS): An IoT use case for software defined networks IEEE 30TH CANADIAN CONFERENCE 2017 (CCECE) BY: ANUJ TYAGI 1
- 2. IOT development towards E-Health E-Heath applications in IoT are newest area of interest and escalating with large scale projects Advantages of IOT: Become more efficient 1. Action based on real data from the field. 2. Avoid cost and downtime - Preventive /predictive maintenance Improve products and services 1. Usage and utilization data 2. Product/Software updates 3. Faster and more efficient support/services Open up new business opportunities 1. Extended service offering 2
- 3. Mobile Edge Computing MEC use cloud computing and mobile networking advances to reduce application latency SDN enable network device to be independent of physical structure SDN powered MEC VANET most suitable for proposed E-health IoT service SDN and MEC provide required computation and efficient infrastructure 3
- 4. What is RHAMDS? Real-time heart attack mobile detection service Utilizes IOT devices and network for vehicle collision prevention and improvement of emergency response time E-health service, IOT use case of SDN powered MEC 4
- 5. SDN and VANET Programming networks, separating data and control planes Centralized control of networks through programmed controllers Translates to the limiting utilization of network switches and routers VANET architecture based vehicles equipped with On-Board Units (OBUs) with localization systems such as GPS, processing units, radio transceivers for wireless access in Vehicular Environment (WAVE) and wide-range one for communication with base stations through WiMax, 3G or 4G sensors 5
- 6. RHAMD’s SDN Mobile Edge Computing Ad-hoc network SDN based VANET added for global intelligence Fall back mechanism and operational modes for SDN adaption in VANET with simulation Comparison of routing protocols with traditional mobile ad-hoc network – MANET and VANET It includes RSUs, micro data centers, resource manager cloud controller, and a SDN controller Heuristic algorithm for cost minimization proposed MEC servers, and IoT devices to FSDN 6
- 7. RHAMDS Network Components SDN Wireless IoT Nodes SDN Wireless Nodes SDN Road Side Unit (RSU) SDN-powered MEC Server SDN Road side unit controller (RSUC) Base Station (BS) SDN Controller 7
- 8. RHAMDS Network Architecture RHAMDS can detect heart attack while driving car through various sensors Two models are proposed: Voice control Gesture control Both are implemented using smart watch GPS co-ordinates of smart cars are monitored Alarm triggered if anomalies found on comparing GPS co-ordinates with MEC server Verify if user is in the car and help to prevent false alarms if user location doesn’t match with car MEC provide low latency and geographical awareness Alarm will be triggered if smart watch and car co-ordinates match and MEC server detect emergency. The car is controlled to auto park to the nearest emergency lane and nearest hospital will be informed. 8
- 9. RHADMS model workflow 9 SDN RSUC identify all smart cars in route of emergency and send them message to clear the lane Patient will receive required aid and allow network to return to original aid The window will be cleared when user says voice command in passing conversation in the car
- 10. Voice/Gesture controlled workflow 10 Another variation, real time heart attack detection When smart watch co-ordinates do not match any of the car Indicate heart attack is not taking place in car Same way it notifies nearest hospital Lane will be cleared to allow ambulance to reach Work-flow directly applicable to gesture controlled RHAMDS model
- 11. Results 11 On detection of heart-attack, voice and gesture monitoring trigger event Notification pops up on the smart watch We can deactivate RHAMDS in case of accidental triggering Fines administrated by the government to misuse the system
- 12. Conclusion Proposed real-time heart attack E-health IoT based system RHAMDS reduce and prevent vehicle collision through detection of heart attacks Presented model of service using SDN for IOT networks and 2 variations: Voice and Gesture Both incorporate sensors from smart watch First variation use service in the vehicle but second also use outside of vehicle 12
- 13. Future Work We plan to consider automatic detection of heart attacks through the utilization of heart’s electrical activity as soon as reliable FDA-approved electrocardiogram (ECG) sensors are incorporated in wearable devices 13