this paper presents an optimal integrated instrumentation sensor network design methodology for complex nonlinear chemical process plants using a combinatorial particle swarm optimiazation (cpso) engine. no comprehensive sensor network design approach has been addressed yet in the literature to simultaneously incorporate cost, precision and reliability requirements for nonlinear plants. the pre...

This paper presents an optimal integrated instrumentation sensor network design methodology for complex nonlinear chemical process plants using a Combinatorial Particle Swarm Optimiazation (CPSO) engine. No comprehensive sensor network design approach has been addressed yet in the literature to simultaneously incorporate cost, precision and reliability requirements for nonlinear plant...

this paper presents a methodology for design of instrumentation sensor networks in non-linear chemical plants. the method utilizes a robust extended kalman filter approach to provide an efficient dynamic data reconciliation. a weighted objective function has been introduced to enable the designer to incorporate each individual process variable with its own operational importance. to enhance the...

This paper presents a technical solution for sensor network monitoring based on virtual instrumentation. Computer developing allows usage of virtual instrumentation for measurement, data acquisition, signal processing, estimation, monitoring, fault detection and diagnosis. The sensor networks may be use as distributed measuring sensors for the physical variables in distributed parameter systems...

Hitherto, instrumentation network design methodologies have been based solely upon sensor capital costs. Within this framework the cost of new instrumentation is minimized subject to constraints indicating the desired level of performance. While, these formulations account for the cost of a network, they do not reflect the potential benefit of adding sensors. To capture this potential profit, w...

Typical test and monitoring systems are based on stand-alone instrumentation and require point-to-point analog wiring, which usually results in cumbersome cabling and connectors, bulky instrumentation, susceptibility to EMI/RFI noise pick up, lack of system flexibility, and a compromised signal-to-noise ratio (SNR). This paper describes a smart network sensor solution with multi-drop sensor arc...

This paper describes the design and implementation of a test instrumentation network configuration and verification system. Given a multivendor instrument part catalog that contains sensor, actuator, transducer and other instrument data; user requirements (including desired measurement functions) and technical specifications; the instrumentation network configurator will select and connect inst...

Deployment of sensor networks in real-world settings is a laborintensive and cumbersome task: environmental influences often trigger problems that are difficult to track down due to limited visibility of the network state. In this extended abstract, we summarize our ongoing efforts to develop a tool for passive inspection of sensor networks, where the network state can be inferred without instr...

In this paper, we present a novel approach to study and reveal network and protocol information from energy instrumentation in wireless sensor network. Unlike prior approaches which focused on analyzing the aggregate statistics of energy efficiency of a network or a protocol, our approach aims at revealing network protocols, application workloads, and topology information by fine-grained energy...