On the Realistic Radio and Network Planning of IoT Sensor Networks

Planning and deploying a functional large scale Wireless Sensor Network (WSN) or a Network of Internet of Things (IoTs) is a challenging task, especially in complex urban environments. A main network design bottleneck is the existence and/or correct usage of appropriate cross layer simulators that can generate realistic results for the scenario of interest. Existing network simulators tend to overlook the complexity of the physical radio propagation layer and consequently do not realistically simulate the main radio propagation conditions that take place in urban or suburban environments, thus passing inaccurate results between Open Systems Interconnection (OSI) layers. This work demonstrates through simulations and measurements that, by correctly passing physical information to higher layers, the overall simulation process produces more accurate results at the network layer. It is demonstrated that the resulting simulation methodology can be utilized to accomplish realistic wireless planning and performance analysis of the deployed nodes, with results that are very close to those of real test-beds, or actual WSN deployments.

[1]  Jianming Wei,et al.  Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks , 2019, Sensors.

[2]  Andrew G. Dempster,et al.  Differences in RSSI readings made by different Wi-Fi chipsets: A limitation of WLAN localization , 2011, 2011 International Conference on Localization and GNSS (ICL-GNSS).

[3]  Tayyab Mehmood COOJA Network Simulator: Exploring the Infinite Possible Ways to Compute the Performance Metrics of IOT Based Smart Devices to Understand the Working of IOT Based Compression & Routing Protocols , 2017, ArXiv.

[4]  Gabriele D'Angelo,et al.  Simulation of the Internet of Things , 2016, 2016 International Conference on High Performance Computing & Simulation (HPCS).

[5]  M. Tahar Kechadi,et al.  CupCarbon: a multi-agent and discrete event wireless sensor network design and simulation tool , 2014, SimuTools.

[6]  David E. Culler,et al.  TOSSIM: accurate and scalable simulation of entire TinyOS applications , 2003, SenSys '03.

[7]  Christoforos Panayiotou,et al.  3D Ray Tracing for device-independent fingerprint-based positioning in WLANs , 2012, 2012 9th Workshop on Positioning, Navigation and Communication.

[8]  Giancarlo Fortino,et al.  Sample Size Determination Algorithm for fingerprint-based indoor localization systems , 2016, Comput. Networks.

[9]  Antonio Liotta,et al.  Quality of fingerprint radiomaps for positioning systems , 2017, 2017 24th International Conference on Telecommunications (ICT).

[10]  Michele Amoretti,et al.  A simulation platform for large-scale internet of things scenarios in urban environments , 2014, Urb-IoT.

[11]  Ralf Tönjes,et al.  CityPulse: Large Scale Data Analytics Framework for Smart Cities , 2016, IEEE Access.

[12]  Christoforos Panayiotou,et al.  Cross device fingerprint-based positioning using 3D Ray Tracing , 2012, 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC).

[13]  Guodong Sun,et al.  Link Investigation of IEEE 802.15.4 Wireless Sensor Networks in Forests , 2016, Sensors.

[14]  Mihal Brumbulli,et al.  Towards Model-Driven Simulation of the Internet of Things , 2016, CSDM Asia.

[15]  T. Kurner,et al.  Calibration of an indoor radio propagation prediction model at 2.4 GHz by measurements of the IEEE 802.11b preamble , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[16]  Amr El-Keyi,et al.  Impact of the human motion on the variance of the received signal strength of wireless links , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  Noël Crespi,et al.  DPWSim: A simulation toolkit for IoT applications using devices profile for web services , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[18]  Alexander Gluhak,et al.  A survey on facilities for experimental internet of things research , 2011, IEEE Communications Magazine.