Howard E. Michel
University of Massachusetts Dartmouth
41 Papers
281 Citations
Howard E. Michel is an academic researcher from University of Massachusetts Dartmouth. The author has contributed to research in topics: Wireless sensor network & Artificial neural network. The author has an hindex of 11, co-authored 41 publications.
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Papers
Power management in SMAC-based energy-harvesting wireless sensor networks using queuing analysis
TL;DR: A solar energy-harvesting model is incorporated into SMAC and its performance analysis is conducted from a theoretical aspect and a new model based on queuing theory is developed to calculate the average number of energy packets in battery in terms of both duty cycle and throughput.
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Knowledge acquisition, synthesis, and validation: a model for decision support systems.
TL;DR: This paper presents a comprehensive knowledge development process to develop a nursing clinical decision support system that contains several innovative approaches including the use of clinical experts and a network of practicing clinicians.
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Fault-Intrusion Tolerant Techniques in Wireless Sensor Networks
Ruiping Ma,Liudong Xing,Howard E. Michel +2 more
- 29 Sep 2006
TL;DR: This paper studies state-of-the-art fault tolerance and intrusion tolerance techniques for WSN and proposes a new fault-intrusion tolerant routing mechanism called MVMP (multi-version multi-path) for W SN that will support highly reliable and secure sensor networks.
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•Journal Article
Fault-Tolerance and Reliability Analysis for Wireless Sensor Networks
TL;DR: A set of faulttolerant models are presented, and reliability performance of these models is evaluated and compared through dynamic fault tree analysis and will provide useful insights and guidelines for designers in achieving or improving fault tolerance for WSN.
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A New Mechanism for Achieving Secure and Reliable Data Transmission in Wireless Sensor Networks
Ruiping Ma,Liudong Xing,Howard E. Michel +2 more
- 16 May 2007
TL;DR: A new mechanism, called MVMP (multi-version multi-path), which integrates data segmentation, Forward Error Correction coding, multiple paths, and multiple versions of cryptographic algorithms for achieving both secure and reliable data transmission in sensor networks.
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