scholarly journals Gateway placement and traffic load simulation in sensor networks

2021 ◽  
Author(s):  
László Hajdu ◽  
Balázs Dávid ◽  
Miklós Krész
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Smart Devices ◽  
Simulation Environment ◽  
Gateway Placement ◽  
Information Spreading ◽  
Application Fields ◽  
Load Simulation

AbstractBecause of the wide variety of possible application fields and the spread of smart devices, the research of wireless sensor networks has become an increasingly important area in the last decade. During the design of these networks, several important aspects have to be considered, for example the lifetime of the network, expected battery usage, or robustness of the installed system. In this paper a simulation environment is introduced that enables the testing of different information spreading methods on the network and provides suggestions for gateway placements with different objectives.

scholarly journals Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models

2014 ◽  
Vol 5 (1) ◽  
pp. 20-45 ◽  
Author(s):  
Osman Salem ◽  
Alexey Guerassimov ◽  
Ahmed Mehaoua ◽  
Anthony Marcus ◽  
Borko Furht
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Anomaly Detection ◽  
Patient Data ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Smart Devices ◽  
Support Vector ◽  
Processing Unit

This paper details the architecture and describes the preliminary experimentation with the proposed framework for anomaly detection in medical wireless body area networks for ubiquitous patient and healthcare monitoring. The architecture integrates novel data mining and machine learning algorithms with modern sensor fusion techniques. Knowing wireless sensor networks are prone to failures resulting from their limitations (i.e. limited energy resources and computational power), using this framework, the authors can distinguish between irregular variations in the physiological parameters of the monitored patient and faulty sensor data, to ensure reliable operations and real time global monitoring from smart devices. Sensor nodes are used to measure characteristics of the patient and the sensed data is stored on the local processing unit. Authorized users may access this patient data remotely as long as they maintain connectivity with their application enabled smart device. Anomalous or faulty measurement data resulting from damaged sensor nodes or caused by malicious external parties may lead to misdiagnosis or even death for patients. The authors' application uses a Support Vector Machine to classify abnormal instances in the incoming sensor data. If found, the authors apply a periodically rebuilt, regressive prediction model to the abnormal instance and determine if the patient is entering a critical state or if a sensor is reporting faulty readings. Using real patient data in our experiments, the results validate the robustness of our proposed framework. The authors further discuss the experimental analysis with the proposed approach which shows that it is quickly able to identify sensor anomalies and compared with several other algorithms, it maintains a higher true positive and lower false negative rate.

scholarly journals Analysis and research on wireless sensor networks

2021 ◽  
Vol 336 ◽  
pp. 04009
Author(s):  
Huanan Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Research Field ◽  
Wireless Sensor ◽  
Basic Principles ◽  
Structure Characteristics ◽  
Bright Future ◽  
Application Fields ◽  
Key Questions

With the development of sensor, computer and communication, the researcher attaches more and more attentions to the research of the wireless sensor networks because of its bright future in applications. This paper introduces the structure, characteristics of wireless sensor networks. Then, some key questions of the research field are discussed based on the basic principles. The end of paper discusses the application fields of wireless sensor networks and comes to a conclusion.

Bi-criteria Gateway Placement Problem in Wireless Sensor Networks

2010 ◽  
Vol 56 (3) ◽  
pp. 215-222 ◽  
Author(s):  
Maria Czajko ◽  
Jacek Wojciechowski
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Placement Problem ◽  
Connection Management ◽  
Gateway Placement ◽  
Network Operation ◽  
Random Manner ◽  
Gateway Deployment

Bi-criteria Gateway Placement Problem in Wireless Sensor NetworksOver the last few years, wireless sensor networks (WSNs) have started to play more and more important role in civil and military applications. A typical sensor network consists of resource-constrained sensing nodes, which monitor environment and send the data to more powerful gateway nodes. The goal of gateway nodes is to aggregate, process and send the data to other gateways or directly to sink nodes. The proper placement of nodes is needed to provide good network operation. Sensing nodes are often placed in a random manner unlike gateways. Gateways, due to their role and cost, are installed rather in a controlled way. In this paper, a bi-criteria gateway placement problem is introduced. The problem is shown to be NP-hard. We formulate it as a linear programming problem, then we develop the Multi-criteria Simulated Allocation (MSAL) heuristic algorithm, for the purpose of cost-effective gateway deployment and power-effective wireless connection management. Finally, we evaluate the efficiency of the algorithm by comparison with the exact method.

scholarly journals LNDIR: A lightweight non-increasing delivery-latency interval-based routing for duty-cycled sensor networks

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771876760 ◽  
Author(s):  
Muhammad K Shahzad ◽  
Dang Tu Nguyen ◽  
Vyacheslav Zalyubovskiy ◽  
Hyunseung Choo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Neighbor Discovery ◽  
Performance Improvements ◽  
Novel Approach ◽  
Minimum Latency ◽  
Latency Interval

Wireless sensor networks are composed of low-energy, small-size, and low-range unattended sensor nodes. Recently, it has been observed that by periodically turning on and off the sensing and communication capabilities of sensor nodes, we can significantly reduce the active time and thus prolong network lifetime. However, this duty cycling may result in high network latency, routing overhead, and neighbor discovery delays due to asynchronous sleep and wake-up scheduling. These limitations call for a countermeasure for duty-cycled wireless sensor networks which should minimize routing information, routing traffic load, and energy consumption. In this article, we propose a lightweight non-increasing delivery-latency interval routing referred as LNDIR. This scheme can discover minimum latency routes at each non-increasing delivery-latency interval instead of each time slot. Simulation experiments demonstrated the validity of this novel approach in minimizing routing information stored at each sensor. Furthermore, this novel routing can also guarantee the minimum delivery latency from each source to the sink. Performance improvements of up to 12-fold and 11-fold are observed in terms of routing traffic load reduction and energy efficiency, respectively, as compared to existing schemes.

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