AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices
For modern military operations regarding the safety and the situational awareness of soldiers in combat is paramount. In this paper we proposed an IoT based Soldier Status Monitoring System (SSMS) to address the Soldier Status issue to increase the battlefield awareness by provide real time soldier...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03003.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849766634844061696 |
|---|---|
| author | Sirisha N. V Revathi Albawi Ali Gupta Navya Singh Navdeep Krishnamoorthy Murugaperumal |
| author_facet | Sirisha N. V Revathi Albawi Ali Gupta Navya Singh Navdeep Krishnamoorthy Murugaperumal |
| author_sort | Sirisha N. |
| collection | DOAJ |
| description | For modern military operations regarding the safety and the situational awareness of soldiers in combat is paramount. In this paper we proposed an IoT based Soldier Status Monitoring System (SSMS) to address the Soldier Status issue to increase the battlefield awareness by provide real time soldier location tracking, health monitoring and alerts to the soldiers who are in danger. Multiple smart sensors like gas sensors, motion sensors, biometric sensors, metal detectors are integrated in helmet and boots of each soldier into the system. In the end, an IoT feeds soldiers’ locations back to a centralized command via GPS communications. In addition, an SOS switch enables soldiers to invoke an emergency channel. Using predictive analytics and machine learning, the system is able to identify early indications of danger or degradation to health that could mean increasing soldier safety. End to end encryption ensuresdata security and energy harvesting technology eases the burden of energy application on the computing device. This system represents a comprehensive solution to making soldiers safer, able to better communicate, and more operationally efficient on the modern battlefield. |
| format | Article |
| id | doaj-art-e243d4a4565a46629989f90ed9e7bedc |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-e243d4a4565a46629989f90ed9e7bedc2025-08-20T03:04:30ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016190300310.1051/e3sconf/202561903003e3sconf_icsget2025_03003AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable DevicesSirisha N.0V Revathi1Albawi Ali2Gupta Navya3Singh Navdeep4Krishnamoorthy Murugaperumal5Department of Computer Science and Engineering, MLR Institute of TechnologyDepartment of Applied Sciences, New Horizon College of EngineeringRadiology Techniques Department, College of Medical Technology, The Islamic UniversityLloyd Law CollegeLovely Professional UniversityDepartment of Electrical and Electronics Engineering, Vardhaman College of EngineeringFor modern military operations regarding the safety and the situational awareness of soldiers in combat is paramount. In this paper we proposed an IoT based Soldier Status Monitoring System (SSMS) to address the Soldier Status issue to increase the battlefield awareness by provide real time soldier location tracking, health monitoring and alerts to the soldiers who are in danger. Multiple smart sensors like gas sensors, motion sensors, biometric sensors, metal detectors are integrated in helmet and boots of each soldier into the system. In the end, an IoT feeds soldiers’ locations back to a centralized command via GPS communications. In addition, an SOS switch enables soldiers to invoke an emergency channel. Using predictive analytics and machine learning, the system is able to identify early indications of danger or degradation to health that could mean increasing soldier safety. End to end encryption ensuresdata security and energy harvesting technology eases the burden of energy application on the computing device. This system represents a comprehensive solution to making soldiers safer, able to better communicate, and more operationally efficient on the modern battlefield.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03003.pdfsmart soldier monitoringiot-based soldier trackingreal- time health monitoringpredictive analytics for soldier safetybattlefield iot systems |
| spellingShingle | Sirisha N. V Revathi Albawi Ali Gupta Navya Singh Navdeep Krishnamoorthy Murugaperumal AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices E3S Web of Conferences smart soldier monitoring iot-based soldier tracking real- time health monitoring predictive analytics for soldier safety battlefield iot systems |
| title | AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices |
| title_full | AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices |
| title_fullStr | AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices |
| title_full_unstemmed | AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices |
| title_short | AI-Driven Predictive Health Monitoring and Early Warning Systems for Enhanced Soldier Safety in IoT-Enabled Wearable Devices |
| title_sort | ai driven predictive health monitoring and early warning systems for enhanced soldier safety in iot enabled wearable devices |
| topic | smart soldier monitoring iot-based soldier tracking real- time health monitoring predictive analytics for soldier safety battlefield iot systems |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03003.pdf |
| work_keys_str_mv | AT sirishan aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices AT vrevathi aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices AT albawiali aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices AT guptanavya aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices AT singhnavdeep aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices AT krishnamoorthymurugaperumal aidrivenpredictivehealthmonitoringandearlywarningsystemsforenhancedsoldiersafetyiniotenabledwearabledevices |