Limitations of Simulation Tools for Large-Scale Wireless Sensor Networks

Khan, Muhammad Zahid; Askwith, Bob; Bouhafs, Faycal; Asim, Muhammad

doi:10.1109/waina.2011.59

Cited by 22 publications

(13 citation statements)

References 13 publications

(26 reference statements)

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“…In [36], a review of network modelling and simulation tools is presented, including WSN simulators, such as NS2, OPNET, and GloMoSim. Authors in [2] present a review of several WSN simulation tools. They mostly focus on their suitability for large-scale WSNs.…”

Section: Categories Of Scientific Articlesmentioning

confidence: 99%

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

Bakni¹,

Chacón²,

Cardinale³

et al. 2019

IJWMN

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The large number of Wireless Sensor Networks (WSN) simulators available nowadays, differ in their design, goals, and characteristics. Users who have to decide which simulator is the most appropriate for their particular requirements, are today lost, faced with a panoply of disparate and diverse simulators. Hence, it is obvious the need for establishing guidelines that support users in the tasks of selecting a simulator to suit their preferences and needs. In previous works, we pro-posed a generic and novel approach to evaluate networks simulators, considering a methodological process and a set of qualitative and quantitative criteria. In particularly, for WSN simulators, the criteria include relevant aspects for this kind of networks, such as energy consumption modelling and scalability capacity. The aims of this work are: (i) describe deeply the criteria related to WSN aspects; (ii) extend and update the state of the art of WSN simulators elaborated in our previous works to identify the most used and cited in scientific articles; and (iii) demonstrate the suitability of our novel methodological approach by evaluating and comparing the three most cited simulators, specially in terms of energy modelling and scalability capacities. Results show that our proposed approach provides researchers with an evaluation tool that can be used to describe and compare WSN simulators in order to select the most appropriate one for a given scenario.

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Section: Categories Of Scientific Articlesmentioning

confidence: 99%

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

Bakni¹,

Chacón²,

Cardinale³

et al. 2019

IJWMN

View full text Add to dashboard Cite

show abstract

“…As the data is being collected continuously, the users or the operators can expect the data more precisely and uninterrupted data can be uploaded. If any breaks or any further problems for collection of data or for the processing of data occur, the precision and accuracy of the data collection may not be the quality data as per the expectations from the user point of view [6].…”

Section: Vitality Utilization Without Losing Precisionmentioning

confidence: 99%

“…The concept of "eHealth" was growing faster day by day and more number of doctors is being using it. Figure.3 Medical applications example launched by Apple [6] The application like the telemedicine was also getting more familiar and more famous for usage and is being used by more number of doctors from India and other countries also. The usage of telemedicine had increased the collaboration of various doctors from various locations in to a single channel and can collaboratively conduct a common surgery or some typical surgeries.…”

Section: Healthcare Applicationsmentioning

confidence: 99%

A Brief Review on Wireless Sensor Network

Sri¹

2019

IJCTSNS

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Remote Sensor Networks (WSNs) assume a noteworthy part in reforming the world by its detecting innovation. WSNs have developed as that capable innovation which has various applications, for example, for example, military tasks, reconnaissance framework, Intelligent Transport Systems (ITS) and so forth. WSNs include different sensor hubs, which catches the information from the encompassing nearby observing the outer condition. A significant part of the examination work is centered on influencing the sensor to arrange working with least utilization of vitality, so it can make due for longer span. The essential worry toward sparing vitality has been because of the releasing of those batteries on which sensor hubs are worked. Notwithstanding that, WSNs are additionally abused for its security viewpoints with the goal that it can be utilized as a part of some classified segments like military combat zone. This paper presents the WSN in various angles like applications, steering and information gathering, security viewpoints and furthermore briefs about reenactment stage that can be utilized as a part of WSNs. This paper contributes in a manner about presenting the WSNs in various parts of its activity and mirroring its noteworthiness.

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“…For example, both Karl (2005) and Khan (2011) studied NS-2, albeit with different criteria. Khan (2011) and Stetsko et al (2011) studied TOSSIM with almost distinct properties. Table 4 presents a chronological overview of both quantitative and qualitative studies over the past decade.…”

Section: Related Workmentioning

confidence: 99%

Ubiquitous sensor network simulation and emulation environments: A survey

Sharif

Sadeghi‐Niaraki

2017

Journal of Network and Computer Applications

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Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitous computing technology is introduced to provide all users with any service, anytime, anywhere, with any device, and under any network. However, high cost, long time consumption, extensive effort, and in some cases irrevocability are the main challenges and difficulties for developing ubiquitous systems. Therefore, one solution is to initially simulate, analyze, and validate practices prior to deploying sensing and computational devices in the real world. Simulation, as a performance evaluation technique, has attracted attentions due to its speed, cost-effectiveness, repeatability, scalability, flexibility, and ease of implementation. Moreover, emulation, as a hybrid method, not only offers most simulation advantages but also benefits from tight control of implementation, as well as a certain degree of realistic results. Both simulators and emulators are significant tools for enhancing the understanding of ubiquitous sensor networks (USNs) through testing and analyzing several scenarios prior to actual sensor placements. In this regard, this paper surveys 130 simulation and emulation environments and frameworks, which were originally designed and adapted for USN. Of these 130, the 22 that have been widely used, regularly updated, and well supported by their developers are compared based on multifarious criteria. Finally, several studies that had favorably compared the performance of simulators and/or emulators are examined. We believe the present research findings will be helpful for students and researchers to pick an appropriate simulator/emulator, and for software developers and those who are keen on producing their own environment.

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Limitations of Simulation Tools for Large-Scale Wireless Sensor Networks

Cited by 22 publications

References 13 publications

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

A Brief Review on Wireless Sensor Network

Ubiquitous sensor network simulation and emulation environments: A survey

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