Recent Developments in Simulation Tools for WSNs: An Analytical Study

Dwivedi, Ashutosh; Vyas, O. P.

doi:10.1201/b17650-23

Cited by 2 publications

(1 citation statement)

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“…This group of papers includes analytical studies and qualitative analysis. The authors in [ 94 ] present an analytical study of various network simulation tools and platforms focusing on associated main features. The study explored evaluation criteria, type of simulation, classification/categorization, designed or modified, nearby realistic experimental results and future directions.…”

Section: Related Workmentioning

confidence: 99%

Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks

Idris

Karunathilake

Förster

2022

Sensors

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The Internet of Things (IoT) is one of the most important emerging technologies, spanning a myriad of possible applications, especially with the increasing number and variety of connected devices. Several network simulation tools have been developed with widely varying focuses and used in many research fields. Thus, it is critical to simulate the work of such systems and applications before actual deployment. This paper explores the landscape of available IoT and wireless sensor networks (WSNs) simulators and compares their performance using the Low Power Wide Area Network (LPWAN) communication technology called LoRa (Long Range), which has recently gained a lot of interest. Using a systematic approach, we present a chronological survey of available IoT and WSNs simulation tools. With this, we categorized and content-analyzed published scientific papers in the IoT and WSNs simulation tools research domain by highlighting the simulation tools, study type, scope of study and performance measures of the studies. Next, we present an overview of LoRa/LoRaWAN technology by considering its architecture, transmission parameters, device classes and available simulation tools. Furthermore, we discussed three popular open-source simulation tools/frameworks, namely, NS-3, OMNeT++ (FLoRa) and LoRaSim, for the simulation of LoRa/LoRaWAN networks. Finally, we evaluate their performance in terms of Packet Delivery Ratio (PDR), CPU utilization, memory usage, execution time and the number of collisions.

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Section: Related Workmentioning

confidence: 99%