Integrated Development Environment for Debugging Policy-based Applications in Wireless Sensor Networks

In this paper, a new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB , and was compared with the original algorithm. Finally, wireless localization system based on CC2430/31 was set up in IAR development environment. Through hardware testing and comparison, The impact on the localization accuracy is illustrated about the signal transmission loss, beacon node density and outside interference. The superiority of this new algorithm is verified.

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SZ-GESA

Journal of Information Technology Research ◽

10.4018/jitr.2020040101 ◽

2020 ◽

Vol 13 (2) ◽

pp. 1-23

Author(s):

Benyagoub Mohamed ◽

Saadi Slami ◽

Hafaifa Ahmed

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Geometric Approach ◽

The Self ◽

Mobile Sensors ◽

Wireless Sensor ◽

Mobile Wireless ◽

Integrated Development ◽

Development Policies ◽

Mobile Wireless Sensor

In this article, advanced tools are provided to steppe specialists to guide them in choosing the integrated development policies for steppe and pastoral zones. To this end, the use of adapted mobile wireless sensor networks (WSN) is proposed. Thus, a distributed and localized protocol dealing with the self-deployment problem resulting from mobile sensor random deployment is presented, on a steppe rangeland. This scheme entirely based on a geometric approach dealing with geodesy and steppe zones characteristics, allows mobile sensors moving to optimal positions on these study rangelands. The Geodesic Efficient Self-Deployment Algorithm in Steppe Zones (sz-GESA), so called, in its approach to solve the self-deployment problem for a given geographical rangelands type, showed during simulations a great robustness for the WSN adapted to this kind of zones by allowing optimization of the coverage and to idealize the connectivity. Obtained results are very encouraging and let us think for more research enhancing this developed system more efficiently.

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Reducing Simulation Runtime in Wireless Sensor Networks

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Handbook of Research on Computational Simulation and Modeling in Engineering ◽

10.4018/978-1-4666-8823-0.ch024 ◽

2016 ◽

pp. 726-741

Author(s):

Pedro Pinto ◽

António Alberto Pinto ◽

Manuel Ricardo

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Source Code ◽

Wireless Sensor ◽

Development Environment ◽

Wide Range ◽

Multi Core Processor

Wireless Sensor Networks (WSNs) can be deployed using available hardware and software. The Contiki is an operative system compatible with a wide range of WSN hardware. A Contiki development environment named InstantContiki is also available and includes the Cooja simulator, useful to test WSN simulation scenarios prior to their deployment. Cooja can provide realistic results since it uses the full Contiki's source code and some motes can be emulated at the hardware level. However this implies extending the simulation runtime, which is heightened since the Cooja is single threaded, i.e, it makes use of a single core per instant of time, not taking advantage of the current multi-core processors. This chapter presents a framework to automate the configuration and execution of Cooja simulations. When a multi-core processor is available, this framework runs multiple simultaneous Cooja instances to reduce simulations runtime in exchange of higher CPU load and RAM usage.

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