The Role of Data Centricity in Smart , Connected Systems
throughput data points are rapidly transmitted , providing intelligent dataflow that results in safe vehicle navigation .
5.2 CONNECTED MEDICAL DEVICES
In complex connected medical devices such as surgical robotics , DDS provides the data-centric communication backbone for precise , coordinated movements between various subsystems , including robotic arms , control units , imaging systems , and monitoring devices . For example , DDS ensures that data from sensors that track position , pressure , and more can be immediately transmitted to the control system .
Forming a context from the enabled sensor fusion , invalid alarm conditions can be filtered out , allowing medical staff to respond only to properly correlated sensor conditions . In addition , the data-centric architecture simplifies the integration of various components , regardless of vendor or platform , enabling interoperability across imaging systems , robotic controllers , and other supporting systems . A scalable , fault-tolerant and secure DDS communication framework enhances the precision , reliability , and safety of surgical robotic systems , ultimately improving patient outcomes . Current deployed system vendors include GE Healthcare and Moon Surgical .
5.3 UAVS
In unmanned Defense systems , DDS provides the data-centric backbone for efficient , reliable , and secure operations across a distributed network of autonomous vehicles , drones , and ground systems . The Publish / Subscribe model enables seamless data exchange among sensors , control systems , decision-making algorithms , and mission planners .
For example , in a fleet of autonomous drones conducting reconnaissance , DDS ensures that sensor data is distributed in real time to processing units and other drones in the network . This rapid , intelligent approach allows for collaborative decision-making and rapid adaptation to dynamic battlefield conditions . DDS provides the platform-agnostic design with interoperability , allowing seamless integration of diverse systems including air , land , and sea-based vehicles , regardless of vendor or CPU architecture . DDS also incorporates robust security features , including encryption and authentication to protect sensitive military data from interception , false data injection , or other cyberattacks .
6 SUMMARY
Complex , AI-enabled systems rely heavily on intelligent dataflow . By changing the system architecture from process-oriented to data centric , systems can be scalable , flexible , and more secure by design . DDS is the middleware standard that supports data centricity , using a Publish / Subscribe protocol to reliably enable rapid data exchange throughout smart , interconnected systems .
Journal of Innovation 9