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A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks
[chapter]
2011
Lecture Notes in Computer Science
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The prompt detection of faults and, more in general, changes in stationarity in networked systems such as sensor/actuator networks is a key issue to guarantee robustness and adaptability in applications ...
This work suggests a novel distributed change-detection test which operates at two-levels: the first, running on the unit, is particularly reactive in detecting small changes in the process generating ...
In both cases, all sensing units communicate with a centralized decision making unit (called data-aggregation center), whose goal is to aggregate data to provide the final decision. ...
doi:10.1007/978-3-642-21738-8_23
fatcat:aljfneke3zcvrndwkgcjkxwgke
Performance of deterministic local sensing aggregation under interference
2010
Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
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In this paper we evaluate the delay and sensing performance of distributed cooperative sensing in wireless sensor networks assisting cognitive secondary operation. ...
Our evaluation shows that short frequency reuse distance may cause significant packet loss in the sensing aggregation process. ...
These decisions are then collected by the fusion center in centralized architectures, or directly by the secondary users under distributed approaches. ...
doi:10.4108/icst.crowncom2010.9210
dblp:conf/crowncom/NahviFG10
fatcat:g7ks6vkco5bmvoqsvkdowr5qmm
Adversarial Machine Learning based Partial-model Attack in IoT
[article]
2020
arXiv
pre-print
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In this paper, we propose an adversarial machine learning based partial-model attack in the data fusion/aggregation process of IoT by only controlling a small part of the sensing devices. ...
Our numerical results demonstrate the feasibility of this attack to disrupt the decision making in data fusion with limited control of IoT devices, e.g., the attack success rate reaches 83\% when the adversary ...
Acknowledgement: The work at USF was supported in part by NSF CNS-1717969. ...
arXiv:2006.14146v2
fatcat:bw6ftipcdjdbpdqacq2bdofn54
Hierarchical Aggregation of Uncertain Sensor Data for M2M Wireless Sensor Network Using Reinforcement Learning
2014
International Journal of Distributed Sensor Networks
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In Section 2, we present related work about general aggregation models and data classification mechanisms. ...
sensed data before the data are delivered to server system. ...
doi:10.1155/2014/535707
fatcat:vsdq7v6klnhvppblc3ng4brc74
Security and Privacy Dimensions in Next Generation DDDAS/Infosymbiotic Systems: A Position Paper
2015
Procedia Computer Science
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The omnipresent pervasiveness of personal devices will expand the applicability of the Dynamic Data Driven Application Systems (DDDAS) paradigm in innumerable ways. ...
We propose a security and privacy preserving framework for next generation systems that harness the full power of the DDDAS paradigm while (1) ensuring provable privacy guarantees for sensitive data; ( ...
metrics, and localized distributed computations for multi-level decision making. ...
doi:10.1016/j.procs.2015.05.357
fatcat:yvddllnnfbbclaun4wevqtbmzm
A Discrepancy-based Framework to Compare Robustness between Multi-Attribute Evaluations
[article]
2016
arXiv
pre-print
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However, an evaluation makes no sense without its robustness being given (in the sense of its reliability). ...
Multi-objective evaluation is a necessary aspect when managing complex systems, as the intrinsic complexity of a system is generally closely linked to the potential number of optimization objectives. ...
Our framework is a generalization of an empirical method proposed in [14] besides a more general benchmarking study on indicator sense and relevance in a sustainability context. ...
arXiv:1608.00840v1
fatcat:mmqbcydprzh3rptbwwefdeq7ay
Consistent mapping of government malaria records across a changing territory delimitation
2014
Malaria Journal
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Health Management Information Systems (HMIS) are a crucial tool for supporting planning and decision-making. ...
The probabilistic model defined allows HMIS users to generate samples from a incidence distribution to develop further analysis. ...
Background Health Management Information Systems (HMIS) are a crucial tool for supporting planning and decision-making. ...
doi:10.1186/1475-2875-13-s1-p5
fatcat:h6sa2dtdajb2fdvb25btso3zee
A Discrepancy-Based Framework to Compare Robustness Between Multi-attribute Evaluations
[chapter]
2016
Complex Systems Design & Management
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Our framework is a generalization of an empirical method proposed in [14] besides a more general benchmarking study on indicator sense and relevance in a sustainability context. ...
Indeed, either in the field of Complex Industrial Systems, in the sense of engineered systems, where construction of Systems of Systems (SoS) by coupling and integration often leads to contradictory objectives ...
doi:10.1007/978-3-319-49103-5_11
dblp:conf/csdm/Raimbault16
fatcat:bgwk2adtirgajnjudmw3o2w64i
Judgement aggregation and distributed thinking
2010
AI & Society: The Journal of Human-Centred Systems and Machine Intelligence
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In this survey I review some core results in the field of judgement aggregation and social epistemology and discuss their implications for the analysis of distributed thinking. ...
In recent years, judgement aggregation has emerged as an important area of social choice theory. ...
Acknowledgements An earlier version of this paper was presented at the "Distributed Thinking" workshop at the University of Hertfordshire, organized by the Distributed Language Group. ...
doi:10.1007/s00146-010-0273-7
fatcat:zj3ppovwtfbu5kwfabw55ntlj4
Judgement Aggregation and Distributed Thinking
[chapter]
2013
Cognition Beyond the Brain
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In this survey I review some core results in the field of judgement aggregation and social epistemology and discuss their implications for the analysis of distributed thinking. ...
In recent years, judgement aggregation has emerged as an important area of social choice theory. ...
Acknowledgements An earlier version of this paper was presented at the "Distributed Thinking" workshop at the University of Hertfordshire, organized by the Distributed Language Group. ...
doi:10.1007/978-1-4471-5125-8_3
fatcat:odwpz7enj5e6vfezwtt4jywsby
Trust-based data fusion mechanism design in cognitive radio networks
2014
2014 IEEE Conference on Communications and Network Security
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This paper develops a trust-based data aggregation scheme to cope with malicious SU attack in cooperative spectrum sensing in cognitive radio networks. ...
Cognitive radio is a promising solution for spectrum scarcities in the future. Secondary users (SUs) adopt cooperative sensing to learn the primary user's (PU's) occupancy activity. ...
, which will lead to a repeated wrong aggregated decision of the system. ...
doi:10.1109/cns.2014.6997465
dblp:conf/cns/WangC14
fatcat:ocv2bcxzqfd3pduqjfwkami4qq
Bridging Sensing and Decision Making in Ambient Intelligence Environments
[chapter]
2009
Multimedia Techniques for Device and Ambient Intelligence
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In this chapter, we propose an approach to bridge the gap between sensing and decision making and provide an uncertainty resolver to reduce faulty decisions based on uncertain knowledge extracted from ...
Context-aware and Ambient Intelligence environments represent one of the emerging issues in the last decade. ...
Here, we assume that signatures are generated on demand.6 Bridging Sensing and Decision Making in Ambient Intelligence Environments
Bridging Sensing and Decision Making in Ambient Intelligence Environments ...
doi:10.1007/978-0-387-88777-7_6
fatcat:t4ttpstclfdchcvq5faygpohxe
Investigative analysis of channel selection algorithms in cooperative spectrum sensing in cognitive radio networks
2021
SAIEE Africa Research Journal
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Finally, SU1 aggregates sensing results stored in the vector to make a final decision. ...
Matlab was used to simulate and generate the results in a distributed cognitive radio environment. ...
doi:10.23919/saiee.2021.9340532
fatcat:hw5j2csoong3xl2ize3lgqs6fu
Energy-efficient cooperative sensing for cognitive wireless sensor networks
2015
5th International Conference on Energy Aware Computing Systems & Applications
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The proposed schemes use randomized channel sensing, implicit cooperation, and simplified aggregation to reduce the energy consumed in channel sensing. ...
In this paper, we present two energy-efficient cooperation schemes for CRSNs. ...
System Model We consider a distributed wireless CRSN geographically collocated with N primary networks. Each PN operates in a separate channel. Each PN alternates between ON and OFF states. ...
doi:10.1109/iceac.2015.7352195
dblp:conf/iceac/AliKF15
fatcat:bvhk5v5qtredfelbzxwrdbdnra
Wisdom of the swarm for cooperative decision-making in human-swarm interaction
2015
2015 IEEE International Conference on Robotics and Automation (ICRA)
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At this aim, existing methods for cooperative sensing and recognition make use of distributed consensus algorithms, which include for instance averaging and frequency counting. ...
In this work we present a distributed consensus protocol that allows robot swarms to learn efficiently gestures from online interactions with a human teacher. ...
The authors participate to Project 4: Distributed Robotics, sub-project 4.5, Symbiotic human-swarm cooperation. ...
doi:10.1109/icra.2015.7139432
dblp:conf/icra/NagiNGC15
fatcat:6sjudwz6lzamtcf26qud66djli
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