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Resilient system design and efficient link management for the wireless communication of an ocean current turbine test bed
Title
Resilient system design and efficient link management for the wireless communication of an ocean current turbine test bed.
Creator
Marcus, Anthony M., Cardei, Ionut E., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
To ensure that a system is robust and will continue operation even when facing disruptive or traumatic events, we have created a methodology for system architects and designers which may be used to locate risks and hazards in a design and enable the development of more robust and resilient system architectures. It uncovers design vulnerabilities by conducting a complete exploration of a systems’ component operational state space by observing the system from multi-dimensional perspectives and...
Show moreTo ensure that a system is robust and will continue operation even when facing disruptive or traumatic events, we have created a methodology for system architects and designers which may be used to locate risks and hazards in a design and enable the development of more robust and resilient system architectures. It uncovers design vulnerabilities by conducting a complete exploration of a systems’ component operational state space by observing the system from multi-dimensional perspectives and conducts a quantitative design space analysis by means of probabilistic risk assessment using Bayesian Networks. Furthermore, we developed a tool which automated this methodology and demonstrated its use in an assessment of the OCTT PHM communication system architecture. To boost the robustness of a wireless communication system and efficiently allocate bandwidth, manage throughput, and ensure quality of service on a wireless link, we created a wireless link management architecture which applies sensor fusion to gather and store platform networked sensor metrics, uses time series forecasting to predict the platform position, and manages data transmission for the links (class based, packet scheduling and capacity allocation). To validate our architecture, we developed a link management tool capable of forecasting the link quality and uses cross-layer scheduling and allocation to modify capacity allocation at the IP layer for various packet flows (HTTP, SSH, RTP) and prevent congestion and priority inversion. Wireless sensor networks (WSN) are vulnerable to a plethora of different fault types and external attacks after their deployment. To maintain trust in these systems and increase WSN reliability in various scenarios, we developed a framework for node fault detection and prediction in WSNs. Individual wireless sensor nodes sense characteristics of an object or environment. After a smart device successfully connects to a WSN’s base station, these sensed metrics are gathered, sent to and stored on the device from each node in the network, in real time. The framework issues alerts identifying nodes which are classified as faulty and when specific sensors exceed a percentage of a threshold (normal range), it is capable of discerning between faulty sensor hardware and anomalous sensed conditions. Furthermore we developed two proof of concept, prototype applications based on this framework.
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Date Issued
2013
PURL
http://purl.flvc.org/fau/fd/FA0004035
Subject Headings
Fault tolerance (Engineering), Reliability (Engineering), Sensor networks -- Security measures, Systems engineering, Wireless communication systems -- Technological innovations
Format
Document (PDF)
Energy Efficient Cluster-Based Target Tracking Strategy
Title
Energy Efficient Cluster-Based Target Tracking Strategy.
Creator
AL-Ghanem, Waleed Khalid, Mahgoub, Imad, Florida Atlantic University
Abstract/Description
This research proposes a cluster-based target tracking strategy for one moving object using wireless sensor networks. The sensor field is organized in 3 hierarchal levels. 1-bit message is sent when a node detects the target. Otherwise the node stays silent. Since in wireless sensor network nodes have limited computational resources, limited storage resources, and limited battery, the code for predicting the target position should be simple, and fast to execute. The algorithm proposed in this...
Show moreThis research proposes a cluster-based target tracking strategy for one moving object using wireless sensor networks. The sensor field is organized in 3 hierarchal levels. 1-bit message is sent when a node detects the target. Otherwise the node stays silent. Since in wireless sensor network nodes have limited computational resources, limited storage resources, and limited battery, the code for predicting the target position should be simple, and fast to execute. The algorithm proposed in this research is simple, fast, and utilizes all available detection data for estimating the location of the target while conserving energy. lbis has the potential of increasing the network life time. A simulation program is developed to study the impact of the field size and density on the overall performance of the strategy. Simulation results show that the strategy saves energy while estimating the location of the target with an acceptable error margin.
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Date Issued
2008
PURL
http://purl.flvc.org/fau/fd/FA00012501
Subject Headings
Wireless communication systems--Technological innovations, Sensor networks--Security measures, High performance computing, Adaptive signal processing, Target acquisition, Expert systems (Computer science)
Format
Document (PDF)