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BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks

Yan Gao, Wenfen Liu
2014 Journal of Sensors  
For the trust relationship between nodes, trust value in every interval is quantified based on Bayesian inference.  ...  With the rapid development and application of medical sensor networks, the security has become a big challenge to be resolved.  ...  Firstly, one key is distributed and updated by the base station, which is similarly generated through some public key technique.  ... 
doi:10.1155/2014/649392 fatcat:7bsjaakjwjf23l5ixjsmgtf5xe

Fusion in the Context of Information Theory [chapter]

Gregory Pottie, Mohiuddin Ahmed
2004 Distributed Sensor Networks  
Next, in Section 3.9.2, the approaches taken towards analyzing such systems and the path leading towards the modern information theoretic framework for information processing are discussed.  ...  Consequently, information theory can provide a common framework for distributed detection and communication tasks in sensor networks.  ...  In this context, sensors can be thought of as information gathering, processing and dissemination entities, as diagrammed in abstraction of the flow of information in the system.  ... 
doi:10.1201/9780203487068.ch22 fatcat:pkybumygdfcbnccb5y7fbgdq4i

Fusion in the Context of Information Theory [chapter]

Mohiuddin Ahmed, Gregory Pottie
2012 Distributed Sensor Networks, Second Edition  
Next, in Section 3.9.2, the approaches taken towards analyzing such systems and the path leading towards the modern information theoretic framework for information processing are discussed.  ...  Consequently, information theory can provide a common framework for distributed detection and communication tasks in sensor networks.  ...  In this context, sensors can be thought of as information gathering, processing and dissemination entities, as diagrammed in abstraction of the flow of information in the system.  ... 
doi:10.1201/b12991-27 fatcat:7i2plfyohfcrlbzn5nlmnpkeda

Autonomous Searching for a Diffusive Source Based on Minimizing the Combination of Entropy and Potential Energy

Cheng Song, Yuyao He, Xiaokang Lei
2019 Sensors  
The term entropy is implemented as the exploration to gather more information.  ...  This leads the sensor to spend more time exploring the space and yields a longer search path.  ...  The authors would like to express their sincere thanks to Branko Ristic of RMIT University for instructing about the particles filter method and providing the simulation code.  ... 
doi:10.3390/s19112465 fatcat:ptzyds2hlzeudoab5qjw2pwbmy

Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle

Liam Paull, Carl Thibault, Amr Nagaty, Mae Seto, Howard Li
2014 IEEE Transactions on Cybernetics  
The aircraft is able to plan paths in situ based on sensor data and an accurate model of the on-board camera used for coverage.  ...  In this work, this restriction is removed as the aircraft maintains a coverage map based on its actual pose trajectory and makes control decisions based on that map.  ...  ACKNOWLEDGEMENT This research is supported by Natural Sciences and Engineering Research Council of Canada (NSERC) and Canada Foundation for Innovation.  ... 
doi:10.1109/tcyb.2013.2290975 pmid:25137689 fatcat:zyagbye2dvghvoa46w24shi5ei

Approximate Nonmyopic Sensor Selection via Submodularity and Partitioning

Wenhui Liao, Qiang Ji, W.A. Wallace
2009 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
The relationships between the sensors and the hypotheses that the sensors aim to assess are modeled with Bayesian networks (BNs), and the information gain (benefit) of the sensors with respect to the hypotheses  ...  As sensors become more complex and prevalent, they present their own issues of cost-effectiveness and timeliness.  ...  [45] apply mutual information to select an optimal sensor set based on a dynamic Bayesian network. Denzler et al.  ... 
doi:10.1109/tsmca.2009.2014168 fatcat:syzcrdmsczcepk7vmrgyremr3i

Dsmt Applied To Seismic And Acoustic Sensor Fusion

Erik P. Blasch, Jean Dezert, Pierre Valin
2012 Zenodo  
In this paper, we explore the use of the Dezert-Smarandache Theory (DSmT) for seismic and acoustic sensor fusion.  ...  The goal of this paper is to present an application and comparison on DSmT with other classifier methods to include the support vector machine(SVM) and Dempster- Shafer (DS) methods.  ...  Durate for the correspondence in the data and preliminary code.  ... 
doi:10.5281/zenodo.34801 fatcat:jnodmfh7hbezbinjwdf2nbphyi

Data aggregation in wireless sensor networks: Compressing or forecasting?

Jin Cui, Fabrice Valois
2014 2014 IEEE Wireless Communications and Networking Conference (WCNC)  
Data aggregation is the procedure of intelligently gathering information which reduce the amount of data send to the sink, this improve the network capacity.  ...  Wireless sensor networks suffer from constrains in terms of energy, memory and computing capability.  ...  After this, sink will send messages along the path and waits for the projection value; and then update the estimate of the new data field and determine its accuracy.  ... 
doi:10.1109/wcnc.2014.6952909 dblp:conf/wcnc/CuiV14 fatcat:qq7kxvysaze6jef5sb476gl5y4

Guest Editorial Special Issue on the 2018 Workshop on the Algorithmic Foundations of Robotics (WAFR)

Lydia Tapia, Marco Morales, Seth Hutchinson, Gildardo Sanchez-Ante
2021 IEEE Transactions on Automation Science and Engineering  
Third, "Path-based sensors: Paths as sensors, Bayesian updates, and Shannon information gathering," by Otte and Sofge, considers planning with hazards that are only visible during exploration by providing  ...  algorithms for safe planning, even if path sensors are noisy.  ... 
doi:10.1109/tase.2021.3076247 fatcat:xzrl7oovbnad7pssyazkgkrnuu

Online Multi-modal Learning and Adaptive Informative Trajectory Planning for Autonomous Exploration [chapter]

Akash Arora, P. Michael Furlong, Robert Fitch, Terry Fong, Salah Sukkarieh, Richard Elphic
2017 Field and Service Robotics  
In robotic information gathering missions, scientists are typically interested in understanding variables which require proxy measurements from specialized sensor suites to estimate.  ...  a sampling based approach to plan for multiple sensors while handling long horizons and budget constraints.  ...  Acknowledgements We would like to thank NASA's Resource Prospector project and the Australian Center for Field Robotics for funding this work.  ... 
doi:10.1007/978-3-319-67361-5_16 dblp:conf/fsr/AroraFFFSE17 fatcat:y63lzfucofdupot6ridinuwlra

Multi-Modal Active Perception for Information Gathering in Science Missions [article]

Akash Arora, P. Michael Furlong, Robert Fitch, Salah Sukkarieh, Terrence Fong
2017 arXiv   pre-print
We then formulate path planning and sensor scheduling as an information gain maximization problem, and propose a sampling-based solution based on Monte Carlo tree search to plan informative sensing actions  ...  Traditionally, in such missions, robots passively gather data along prescribed paths, while inference, path planning, and other high level decision making is largely performed by a supervisory science  ...  Informative Path Planning Exploration and sensor planning to gain information about the world can be seen as an informative path planning problem.  ... 
arXiv:1712.09716v1 fatcat:622gwsio2rexvcsveedpohuuhq

Table of contents

2021 IEEE Transactions on Automation Science and Engineering  
Boots, and N Path-Based Sensors: Paths as Sensors, Bayesian Updates, and Shannon Information Gathering .......................... .......................................................................  ...  Ratliff Decomposition and Aggregation-Based Real-Time Analysis of Assembly Systems With Geometric Machines and Small Batch-Based Production Tasks .......................................................  ... 
doi:10.1109/tase.2021.3088567 fatcat:2rsy5dp2tbh4nmo6jk6ylozbci

Efficient Sensor Selection for Active Information Fusion

Yongmian Zhang, Qiang Ji
2010 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In our previous paper, we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion.  ...  such as mutual information is used.  ...  Liao and Z. Zhu for insightful discussions.  ... 
doi:10.1109/tsmcb.2009.2021272 pmid:19846377 fatcat:r6q2xlprhndxpo26nyep7gkjgi

Evaluation of the Use of Compressed Sensing in Data Harvesting for Vehicular Sensor Networks

Juan Antonio Martinez, Pedro Miguel Ruiz, Antonio F. Skarmeta
2020 Sensors  
We propose a new harvesting approach for Vehicular Sensor Networks based on compressed sensing (CS) technology called Compressed Sensing-based Vehicular Data Harvesting (CS-VDH).  ...  Our simulations show that CS-VDH outperforms Delay-Bounded Vehicular Data Gathering (DB-VDG), a well-known protocol for data gathering in vehicular sensor networks which considers a specific delay bound  ...  Summary of proposed compressed sensing (CS)-based solutions applied for data gathering in the WSN or Vehicular Sensor Network (VSN) domain.  ... 
doi:10.3390/s20051434 pmid:32155718 fatcat:yg6gcxm7qbc2rdbtvx34kp4zhy

Information-theoretic approach to decentralized control of multiple autonomous flight vehicles

Ben P. Grocholsky, Hugh F. Durrant-Whyte, Peter W. Gibbens, Gerard T. McKee, Paul S. Schenker
2000 Sensor Fusion and Decentralized Control in Robotic Systems III  
The methods and algorithms described center on the use of mutual information gain as a measure in choosing control actions.  ...  Two example problems are described; area coverage for purposes of surveillance and navigation, and sensor management for cuing and hand-off operations.  ...  Second, information measures are an appropriate way of describing tasks such as surveillance, terrain navigation and general information gathering.  ... 
doi:10.1117/12.403734 fatcat:xea3vv45d5cn3pzuilgjokdgva
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