SKS ENTERPRISES Finksburg, MD, USA jsmid sks99 com

CSN - Concept and Sensor Networks

Motivation
Concept, Sensor and (Robotic) Networks (CSRN) are as much about semantics and algorithms as they are about supporting hardware. We start with useful but relatively simple domains of sensor and robotic networks supported by relational databases. Even for the most trivial domain associated semantics/pragmatics (common sense meaning) is complicated. AI has devoted relatively little attention to equipping artifacts with the ability to understand. The most of AI algorithms, processes assume that humans understand. This project is about semantics for humans and artifacts. As soon as the agent, robot, entity (artifact) understands, the human-artifact collaboration will take off to reach another level.

Sensor networks are groups of web-sensors and web-processors. Groups of web-sensors and web-processors operate independently and are able to share data and concepts as required. We might view web-processors as communicating distributed heterogeneous databases.  Components of CSN systems are based on user-friendly hardware and language based communication. CSN systems are convenient tools for example for environmentalists or for monitoring and controlling purposes.

CSN systems consist of four layers:

1. Hardware layer


2. Data communication layer

P.Klan, J.Smid: Webprocessors for Measurement, Control and Synchronization,PSMP5, Las Vegas, NE 2007.
download (1.0MB, pdf, 2007)


3. Language and algorithms layer

J.Smid, M.Obitko, A.Bencur: Concept and Sensor Network Approach to Computing, LNCS/LNAI 3825, 2005.
download(1.49MB, pdf, 2005)


4. Application layer
   
   J.Smid, P.Volf: Gordon Surface Modeling in a Network Environment. PSMP5, Las Vegas, 2007.
   download(96kB, pdf, 2007)

Individual nodes of CSN are standalone or embedded web-processors and sensors that can communicate with users and acquire semantic and descriptive information from them.

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