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Title On the Performance and Scalability of Simulators for Improving Security and Safety of Smart Cities
ID_Doc 39818
Authors Mohsin, A; Aurangzeb, S; Aleem, M; Khan, MT
Title On the Performance and Scalability of Simulators for Improving Security and Safety of Smart Cities
Year 2022
Published
DOI 10.1109/ETFA52439.2022.9921600
Abstract Simulations have gained paramount importance in terms of software development for wireless sensor networks and have been a vital focus of the scientific community in this decade to provide efficient, secure, and safe communication in smart cities. Network Simulators are widely used for the development of safe and secure communication architectures in smart city. Therefore, in this technical survey report, we have conducted experimental comparisons among ten different simulation environments that can be used to simulate smart-city operations. We comprehensively analyze and compare simulators COOJA, NS-2 with framework Mannasim, NS-3, OMNeT++ with framework Castalia, WSNet, TOSSIM, J-Sim, GloMoSim, SENSE, and Avrora. These simulators have been run eight times each and comparison among them is critically scrutinized. The main objective behind this research paper is to assist developers and researchers in selecting the appropriate simulator against the scenario to provide safe and secure wired and wireless networks. In addition, we have discussed the supportive simulation environments, functions, and operating modes, wireless channel models, energy consumption models, physical, MAC, and network-layer protocols in detail. The selection of these simulation frameworks is based on features, literature, and important characteristics. Lastly, we conclude our work by providing a detailed comparison and describing the pros and cons of each simulator.
Author Keywords Smart City; Simulators; Performance Analysis; Networks; Security
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000934103900154
WoS Category Automation & Control Systems; Engineering, Industrial; Engineering, Manufacturing
Research Area Automation & Control Systems; Engineering
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