A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments

Niazi, Muaz A.; Hussain, Amir

doi:10.1109/jsen.2010.2068044

Cited by 63 publications

(36 citation statements)

References 45 publications

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“…Niazi and Hussain (2009) have presented a self-organizable agent-based model for P2P/ad hoc networks and complex systems keeping in mind their interaction with environment/humans/ animals. Niazi and Hussain (2011a) have presented a novel formal agent-based simulation framework (FABS) to improve the sensing capability of wireless sensor networks in a complex adaptive environment. In addition, Niazi and Hussain (2011b) have proposed sensing of emergent behavior in a complex adaptive system (SECAS) using ABM.…”

Section: Modeling Vcps As Complex Adaptive Systemmentioning

confidence: 99%

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Riaz

Niazi

2016

Complex Adapt Syst Model

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Road traffic is known to have its own complex dynamics. One implication of complexity is that road traffic collisions have become an unwelcome but unavoidable part of human life. One of the major causes of collisions is the human factor. While car manufacturers have been focusing on developing feasible solutions for autonomous and semi-autonomous vehicles to replace or assist human drivers, the proposed solutions have been designed only for individual vehicles. The road traffic, however, is an interaction-oriented system including complex flows. Such a system requires a complex systems approach to solving this problem as it involves considering not only pedestrians, road environment, but also road traffic which can include multiple vehicles. Recent research has demonstrated that large-scale autonomous vehicular traffic can be better modeled using a collective approach as proposed in the form of vehicular cyber-physical systems (VCPS) such as given by Li et al. (IEEE Trans Parallel Distrib Syst 23(9):1775–1789, 2012) or Work et al. (Automotive cyber physical systems in the context of human mobility. In: National workshop on high-confidence automotive cyber-physical systems, Troy, MI, 2008). To the best of our knowledge, there is currently no comprehensive review of collision avoidance in the VCPS. In this paper, we present a comprehensive literature review of VCPS from the collision-avoidance perspective. The review includes a careful selection of articles from highly cited sources presented in the form of taxonomy. We also highlight open research problems in this domain.

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Section: Modeling Vcps As Complex Adaptive Systemmentioning

confidence: 99%

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Riaz

Niazi

2016

Complex Adapt Syst Model

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“…A middle ground that takes advantage of the best of both worlds is Hardware in the Loop Simulation, where the actual hardware (UAV autopilots) interacts with each other in a virtual environment. It has been suggested (Niazi and Hussain, 2011) that such a system can be of benefit; yet, to date no such system could be found in the literature.…”

Section: Available Mas Simulatorsmentioning

confidence: 99%

Hardware in the Loop Simulator for Multi Agent Unmanned Aerial Vehicles Environment

Ali¹

2013

American Journal of Engineering and Applied Sciences

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“…[9] such as Wireless Sensor Networks and content networks [10] is often performed using either Agent-based Modeling [11] or Complex Networks. [12].…”

Section: A Modeling Complex Adaptive Systemsmentioning

confidence: 99%

A Critical Examination of Complex Network File Formats for Bioinformatics Data Sources

Ghaffar

Niazi

Mustafa

2012

2012 10th International Conference on Frontiers of Information Technology

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Recent work has demonstrated the effectiveness of using complex networks for studying complex biological interactions. The process often involves conversion of biological data such as gene expressions or biochemical interactions into one of numerous complex network file formats. However, the exact selection of an appropriate file format for a particular dataset often poses a non-trivial decision problem; biologists are non-specialist end-users and find it difficult to select a particular format for data storage and conversion. In this paper, we propose a solution to this problem of the selection of a suitable network format by means of a critical evaluation based on performance analysis of empirical experiments on biological data sets of different sizes. Experimental results substantiate the hypothesis of being extra careful in the selection of a suitable complex network format based primarily on the size of the biological dataset.

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A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments

Cited by 63 publications

References 45 publications

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review

Hardware in the Loop Simulator for Multi Agent Unmanned Aerial Vehicles Environment

A Critical Examination of Complex Network File Formats for Bioinformatics Data Sources

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