scholarly journals The impact of spatial correlation on routing with compression in wireless sensor networks

2004 ◽  
Author(s):  
Sundeep Pattem ◽  
Bhaskar Krishnamachari ◽  
Ramesh Govindan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Spatial Correlation ◽  
Wireless Sensor ◽  
The Impact

scholarly journals On the Impact of Local Processing for Motor Monitoring Systems in Industrial Environments Using Wireless Sensor Networks

2013 ◽  
Vol 9 (7) ◽  
pp. 471917 ◽  
Author(s):  
Ruan Delgado Gomes ◽  
Marcéu Oliveira Adissi ◽  
Abel Cavalcante Lima-Filho ◽  
Marco Aurélio Spohn ◽  
Francisco Antônio Belo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Local Processing ◽  
Monitoring Systems ◽  
Industrial Environments ◽  
The Impact

Adaptive Modeling of Routing Algorithms for Wireless Sensor Networks

2012 ◽  
pp. 73-92
Author(s):  
Marcello Cinque ◽  
Catello Di Martino
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithms ◽  
Experimental Results ◽  
Wireless Sensor ◽  
Adaptive Modeling ◽  
Modeling Approach ◽  
Viable Solution ◽  
The Impact

Recent years have witnessed a proliferation of routing algorithms for Wireless Sensor Networks (WSNs), hence complicating the choice of the proper algorithm to be used for a given application. Simulation frameworks represent a viable solution to anticipate crucial choices, however existing solutions do not encompass the impact of changes (e.g., route updates, node crashes) on the nodes behavior and vice-versa. This article proposes a novel adaptive modeling approach to master the complexity of the thorough simulation of routing algorithms for WSN. Experimental results are provided showing the effectiveness of the proposed approach at managing changes, and dealing with detailed aspects, during the simulation and comparison of several routing algorithms.

scholarly journals Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios

Proceedings ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 28
Author(s):  
Mikel Celaya-Echarri ◽  
Leyre Azpilicueta ◽  
Peio Lopez-Iturri ◽  
Erik Aguirre ◽  
Francisco Falcone
Keyword(s):  
Wireless Sensor Networks ◽  
Wave Propagation ◽  
Sensor Networks ◽  
Radio Wave ◽  
Radio Wave Propagation ◽  
Outdoor Environment ◽  
Wireless Sensor ◽  
5 Ghz ◽  
The Impact ◽  
Indoor And Outdoor

The uncontainable future development of smart regions, as a set of smart cities’ assembled networks, is directly associated with a growing demand of full interactive and connected ubiquitous smart environments. To achieve this goal of global connection, a large number of transceivers and multiple wireless systems will be involved to provide user services and applications (i.e., Ambient Assisted Living, emergency situations, e-health monitoring, or Intelligent Transportation Systems) anytime and anyplace, regardless of the devices, networks, or systems used. Adequate, efficient, and effective radio wave propagation tools, methodologies, and analyses in complex environments (indoor and outdoor) are crucial to prevent communication limitations such as coverage, capacity, speed, or channel interferences due to nodes’ density or channel restrictions. In this work, radio wave propagation characterization in an urban indoor and outdoor environment, at ISM 2.4 GHZ and 5 GHz Wireless Sensor Networks (WSNs), has been assessed. The selected scenario is an auditorium placed in a free open area surrounded by inhomogeneous vegetation. User density within the scenario, in terms of inherent transceivers density, poses challenges to the overall system operation, given by multiple node operation which increases overall interference levels. By means of an in-house developed 3D ray launching algorithm, the impact of variable density wireless sensor network operation within this complex scenario is presented. This analysis and the proposed simulation methodology can lead in an adequate interference characterization, considering conventional transceivers as well as wearables, which provide suitable information for the overall network performance in complex crowded indoor and outdoor scenarios.

ANALYSIS AND EVALUATION OF RANDOM PLACEMENT STRATEGIES IN WIRELESS SENSOR NETWORKS

2014 ◽  
Vol 23 (10) ◽  
pp. 1450138 ◽  
Author(s):  
THAIER HAYAJNEH ◽  
SAMER KHASAWNEH
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Quality Measures ◽  
Wireless Sensor ◽  
Hybrid Strategy ◽  
Deployment Strategy ◽  
Area Of Interest ◽  
Random Placement ◽  
The Impact

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.

Stability Analysis of Epidemic Modeling Based on Spatial Correlation for Wireless Sensor Networks

2019 ◽  
Vol 108 (3) ◽  
pp. 1363-1377 ◽  
Author(s):  
Rajeev K. Shakya ◽  
Kamlesh Rana ◽  
Amit Gaurav ◽  
Pushpa Mamoria ◽  
Pramod K. Srivastava
Keyword(s):  
Wireless Sensor Networks ◽  
Stability Analysis ◽  
Sensor Networks ◽  
Spatial Correlation ◽  
Wireless Sensor ◽  
Epidemic Modeling

scholarly journals An Analysis of the Use of Multiple Transmission Power Levels on Wireless Sensor Networks

Proceedings ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 3
Author(s):  
Felipe Antonio Moura Miranda ◽  
Paulo Cardieri
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Great Effort ◽  
Transmission Power ◽  
Multihop Wireless ◽  
Negative Results ◽  
Wide Perspective ◽  
The Impact ◽  
Multiple Transmission

The energy consumption in wireless sensor networks is the critical concern of different studies, especially because of the great effort, or even the impossibility, to replace the battery of their motes. Consequently, it is fundamental to investigate and evaluate the energy spent by every individual task executed by the motes in order to provide an efficient use of their batteries. In this work, we employ different metrics to present a thorough study of how the use of multiple transmission power levels affects multihop wireless sensor networks. This work is motivated by the current employment of the multiple transmission power levels, on both academic works and commercial solutions, which is a novel feature of some radio transceivers commonly used in wireless sensor network motes. Aiming for reliable and extensive analysis, this study employs simulations in different scenarios and models of commonly employed electronic components. The contribution of this works is a detailed investigation of the impact caused by the use of different transmission power levels employing different metrics, offering a wide perspective on the subject. In general, the results of this study indicate that the use of multiple power levels grants both positive and negative results, according to the scenario and metrics analyzed.

The impact of fading and shadowing on the network performance of wireless sensor networks

2008 ◽  
Vol 3 (4) ◽  
pp. 211 ◽  
Author(s):  
Bao Hua Liu ◽  
Brian P. Otis ◽  
Subhash Challa ◽  
Paul Axon ◽  
Chun Tung Chou ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Wireless Sensor ◽  
Fading And Shadowing ◽  
The Impact
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