Fantastic Data

Almost all of today’s networks have some centralized management that dictates how the network is deployed and operated. Centralized management imposes unacceptable constraints on network size and efficiency. Fantastic Data develops technology that enables devices to work together in networks and share information without relying upon central network management. Fantastic Data’s communications protocols are completely free of central control. Network devices operate autonomously and cooperatively with their peers, breaking the central management bottleneck and allowing low power operation, unlimited network growth, and pervasive computing.

wildlife SAS Medium Access Protocol
Up until now, network protocols have been optimized for either high performance or low power consumption precluding the deployment of large networks of autonomous, battery powered nodes. Fantastic Data's Synchronous/Asynchronous (sas) medium access protocol achieves both goals. The sas protocol rapidly switches from asynchronous, contention service to synchronous, collision free service depending upon data load and criticality. The hybrid approach optimizes for performance when that is critical and for low power consumption when performance is not as important.

wildlife Distributed Data Cache
The data cache is a small, memory resident distributed database system that effectively shares data among the many nodes in the network. The data cache provides filtered data flow based upon the queries expressed by application programs to conserve bandwidth and storage. Data records are distributed based upon attributes within the data in order to satisfy the queries expressed on the individual nodes. The data cache efficiently distributes data using an innovative dynamic multicast protocol. It guarantees data delivery as long as the data remains valid and it ensures consistency of the multiple copies.

wildlife Collaborative Tracker
Collaborative tracking is an excellent example of a cooperative network. Sensors share information (detected events) with their neighbors in order to create a better picture of the environment. For security applications, collaborative tracking using cooperative networks yields more accurate and reliable target detections with fewer false alarms and with less overhead than today’s centrally managed systems.

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