scholarly journals Software-in-Loop Simulation Environment for Electromagnetic Underwater Wireless Sensor Networks over STANAG 5066 Protocol

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1611
Author(s):  
Victor Alonso-Eugenio ◽  
Victor Guerra ◽  
Santiago Zazo ◽  
Ivan Perez-Alvarez

In this work, the development of a software-in-loop platform to carry out Underwater Wireless Sensor Network (UWSN) simulations using a real-time STANAG 5066 stack is presented. The used protocol stack is part of a real-world implementation of an underwater wireless node based on ElectroMagnetic (EM) Underwater Radio Frequency Communication (EM-URFC), framed within Spanish Government’s project HERAKLES. The main objective of this work was to assess the suitability of this software-in-loop approach for carrying out realistic UWSN simulations. In addition to a detailed description of the simulation process, several simulations considering an illustrative network topology are performed, analyzing the impact of different critical parameters on the network performance. The conclusions suggest that the developed software-in-loop platform is suitable to carry out UWSN network tests using a real-world implementation of the STANAG 5066 stack. Moreover, other real-time protocol stacks may be easily adapted with minor modifications.

Author(s):  
Amierul Syazrul Azman ◽  
◽  
Mohamad Yusry Lee ◽  
Siva Kumar Subramaniam ◽  
Farah Shahnaz Feroz ◽  
...  

As the wireless sensor networks (WSNs) progress with newer and more advanced technologies, so do the demands for them in a growing number of applications. Precision agricultural environment monitoring is one of the most prominent applications that require feasible wireless support systems, particularly in the protection and condition control of the crops. This paper focuses on the grid nodes arrangement of WSN, considering the wide dissemination of the plantation areas in the agriculture industry. Due to the different types of sensors used and their data size, the study on the impact of the varied packet size on the performance of the small and large network has been carried out using AODV and OLSR routing protocols. No significant differences in terms of performance can be seen as the packet size is varied. However, compared to the small network, more performance issues have occured in the large network, such as more packet loss, higher throughput degradation, higher energy consumption, worse unfairness, and more overhead production. The OEG routing protocol has been proposed to enhance the network performance by reducing the strain due to the saturated traffic. When solely compared to AODV, OEG routing protocol is able to enhance the network performance with at most 27% more packet delivery ratio, 31kbps more throughput, and 0.991J lesser energy consumed in the network.


2014 ◽  
Vol 23 (10) ◽  
pp. 1450138 ◽  
Author(s):  
THAIER HAYAJNEH ◽  
SAMER KHASAWNEH

Wireless sensor networks (WSNs) are an attractive choice for many applications where sensors are densely and efficiently deployed in an area of interest. For example, in surveillance applications, where deterministic placement is not applicable, the sensors have to be randomly deployed entirely or partially in an area. Whether random or deterministic, the strategy of deploying the sensors has a large impact on the performance of WSNs. In this paper, we propose a systematic methodology for sensors placement based on several random distributions. The quality of deployment is evaluated using a set of proposed measures, the significance of which highly depends on the WSN application. The impact of these deployment strategies on the network performance is thoroughly studied. Moreover, we propose a new hybrid deployment strategy that aims to achieve the best performance based on the suggested deployment quality measures. Both the placement strategies with the deployment quality measures are evaluated using extensive simulations. The results show that the proposed hybrid strategy outperformed other strategies including uniform, random, Gaussian, and exponential distributions. In addition, the paper identifies the family of applications where each of the quality measures is highly critical.


Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3358
Author(s):  
Rodrigue Domga Komguem ◽  
Razvan Stanica ◽  
Maurice Tchuente ◽  
Fabrice Valois

In this paper, we are interested in characterizing the link properties of a wireless sensor network with nodes deployed at ground level. Such a deployment is fairly common in practice, e.g., when monitoring the vehicular traffic on a road segment or the status of infrastructures such as bridges, tunnels or dams. However, the behavior of off-the-shelf wireless sensor nodes in these settings is not yet completely understood. Through a thorough experimentation campaign, we evaluated not only the impact of the ground proximity on the wireless links, but also the impact of some parameters such as the packet payload, the communication channel frequency and the topography of the deployment area. Our results show that a ground-level deployment has a significant negative impact on the link quality, while parameters such as the packet size produce unexpected consequences. This allows us to parameter classical theoretical models in order to fit a ground-level deployment scenario. Finally, based on the lessons learned in our field tests, we discuss some considerations that must be taken into account during the design of communication protocols and before the sensor deployment in order to improve network performance.


2008 ◽  
Vol 3 (4) ◽  
pp. 211 ◽  
Author(s):  
Bao Hua Liu ◽  
Brian P. Otis ◽  
Subhash Challa ◽  
Paul Axon ◽  
Chun Tung Chou ◽  
...  

In hostile and non-accessible remote area, energy conservation plays vital role in the performance of Wireless Sensor Network (WSN). Shorter life of battery operated sensors tends to lower lifespan of the WSN which further degrades the dense network performance. In this paper, we propose the modified solar aware LEACH for efficient routing in WSN to maximize the network lifespan. This proposed scheme uses real time solar meteorological data for the implementation of solar aware LEACH (sLEACH), advance solar aware LEACH (AsLEACH), improved solar aware LEACH (IS-LEACH).The proposed algorithm is simulated using MATLAB and performance is evaluated on the basis of data throughput, energy consumption and network lifetime which show improved performance than existing techniques.


Author(s):  
Sushanta Mohan Rakshit ◽  
Michael Hempel ◽  
Pradhumna Shrestha ◽  
Fahimeh Rezaei ◽  
Hamid Sharif ◽  
...  

Wireless Sensor Networks have been a focus of research in the North American freight railroad industry to enable on-board real-time sensing of critical railcar parameters. Important railcar aspects like wheel bearing temperature, air pressure, brake failure, and the integrity of transported goods can then be monitored closely and reliably. This enables immediate preventive actions in case of impending failures and also enables trend analysis that can be used to fine-tune maintenance efforts on railcars. These measures increase the safety, efficiency, and dependability of freight railroad operations. In our previous work [1–3] we have presented our Hybrid Technology Networking (HTN) protocol. This protocol provides optimal network performance for railcar monitoring applications. We have also presented HTNMote, a hardware prototyping platform that implements HTN. A deployment of HTNMotes was conducted and evaluated at the TTCI facility in Pueblo, Colorado in the US. The results from our field tests confirm that this approach is an order of magnitude better in performance compared to solutions based on ZigBee alone. In such an application, energy considerations represent a key challenge. These sensors have no readily available continuous energy source, but are expected to operate for years in harsh conditions. Energy harvesting — from vibrations, temperature differences, or solar radiation — may provide a potential solution to the energy scarcity. This also mandates that the HTNMote hardware and HTN protocol both be as energy efficient as possible. In this paper we present detailed measurements of the energy consumed by the HTNMote in various operational situations that are encountered during their operation onboard freight railcars. We introduce an energy consumption model based on our analysis of the measurements. This model demonstrates the energy-efficiency of the HTNMote implementation.


Communication over WSN under environmental hazards is a major issue. These constraints may have an impact over the behavior of the sensors/routing protocols and resource consumption; thus, may lead to the node failure condition i.e. software/hardware failure, security threats, excessive energy consumption, etc. It is necessary to analyze the impact of failure over network performance. In this paper, a node failure management solution is proposed, and its performance is analyzed using different protocols i.e. LEACH, AODV, and DSDV.


2021 ◽  
Vol 10 (2) ◽  
pp. 879-885
Author(s):  
Tejaswini R. Murgod ◽  
S. Meenakshi Sundaram

Study of computer networks and their performance parameters like delay, bandwidth utilization, throughput, latency, jittering, and packet loss. have gained significant importance in the recent times. Simulation studies have been preferred for these parameters in computer networks, which in a real time is a difficult task. A network consists of many networking devices as gateways, routers, bridges, wireless access points and hub connected to it. To implement any new protocol or algorithm in a network is costlier and time consuming. Recently lot of research is going on underwater wireless sensor networks (UWSNs). Conducting real time experiments for underwater applications are overpriced, so as an alternative solution for this, we can conduct simulation studies to reduce the cost and quicken the research activities.In this paper we explore the different experimentation platforms and simulation tools available that help the network architects to develop new protocols or do changes to the existing protocol in a productive manner. We classify the tools based on various parameters and provide guidelines for researchers to choose a suitable platform based on their requirements.


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