scholarly journals Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7756
Author(s):  
Liang Zhong  ◽  
Shizhong Zhang  ◽  
Yidu Zhang  ◽  
Guang Chen  ◽  
Yong Liu 
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Acquisition ◽  
Critical Issue ◽  
Wireless Sensor ◽  
Mixed Integer ◽  
Acquisition Time ◽  
Integer Programming Problem ◽  
The Stability ◽  
Data Transmission Reliability

Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor association optimization algorithm is proposed to prolong the lifetime of wireless sensor networks and enhance the stability of monitoring, which considers the cluster heads selection, data collection satisfaction and sensor association. First, a multi-constrained mixed-integer programming problem, which combines acquisition time design and sensor association, is formulated to maximize data acquisition satisfaction and minimize energy consumption. To solve this problem, we propose an iterative algorithm based on block coordinate descent technology. In each iteration, the acquisition time is obtained by Lagrangian duality. After that, the sensor association is modeled as a 0–1 knapsack problem, and the three different methods are proposed to solve it. Finally, the simulations are provided to demonstrate the efficiency of the algorithm proposed in this paper.

scholarly journals A Flexible Framework for Assessing the Quality of Information in Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Hao Guo ◽  
Zhongming Pan ◽  
Zhiping Huang ◽  
Jing Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Measurement Data ◽  
Information Aggregation ◽  
Wireless Sensor ◽  
Acquisition Time ◽  
Quality Of Information ◽  
Delay Sensitive ◽  
Flexible Framework

As wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framework to dynamically assess the QoI in different WSN applications, with focus on accuracy and timeliness. Our framework is constructed on the infrastructure of an information aggregation procedure under some assumptions about the network. Based on information fusion theory, two processing models are adopted to assess the accuracy of low-level measurement data and high-level decision information without the need for Ground Truth (GT). Meanwhile, our framework generally exploits two respective models according to the specific category of the information timeliness in different delay-sensitive applications. To quantify the timeliness, we utilize a practical measurement method by means of timestamp to determine the information acquisition time. The framework is evaluated by simulations, including accuracy assessment in two environmental monitoring application scenarios, and timeliness assessment in two delay-sensitive application scenarios. The simulation results show that our framework is effective and flexible for quantitative assessment of the QoI in different WSN applications.

scholarly journals A PUBLIC KEY DISTRIBUTION AND BROADCAST AUTHENTICATION SCHEME FOR WIRELESS SENSOR NETWORKS

2015 ◽  
pp. 133-137
Author(s):  
SHANTALA DEVI PATIL ◽  
VIJAYAKUMAR B P
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Key Distribution ◽  
Critical Issue ◽  
Authentication Scheme ◽  
Public Key ◽  
Wireless Sensor ◽  
Communication Pattern ◽  
Broadcast Communication ◽  
Broadcast Authentication

In Wireless Sensor Networks, Broadcast communication is the most fundamental and prevailing communication pattern. Securing the broadcast messages from the adversary is critical issue. To defend the WSNs against the adversary attacks of impersonation of a broadcast source or receiver, modification/fabrication of the broadcast message, attacker injecting malicious traffic to deplete the energy from the sensors, broadcast authentication of source and receivers becomes extremely inevitable. In this paper, we propose a novel ECC based public key distribution protocol and broadcast authentication scheme. The proposed method provides high security and has low overhead.

Application of Computational Intelligence Techniques in Managing Wireless Sensor Networks

2010 ◽  
pp. 39-72
Author(s):  
Ibrahiem Mahmoud Mohamed El Emary
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Management ◽  
Computational Intelligence ◽  
Critical Issue ◽  
Human Interaction ◽  
Wireless Sensor ◽  
Hierarchical Architecture ◽  
Different Types ◽  
Management Functions

This chapter gives a brief background on network management and how it is integrated into sensor network as well as the application of computational intelligence techniques in managing wireless sensor networks. Also discussed how Genetic Algorithms work in common and how they can be applied to sensor networks. Among the major management tasks rely on consumption power management, so there are many challenges associated with sensor networks but the primary challenge is energy consumption. Sensor networks are typically have little human interaction and are installed with limited battery supplies. This makes energy conservation a critical issue in deployed WSNs. All types of networks require monitoring and maintenance. A service that supplies a set of tools and applications that assist a network manager with these tasks is network management. It includes the administration of networks and all associated components. While all networks require some form of network management, different types of networks may stress certain aspects of network management. Some networks may also impose new tasks on network management. There are different types of network management architectures: centralized, hierarchical and distributed. In a centralized approach, one central server performs the role of the network management application. A hierarchical architecture will include multiple platforms, typically one server and several clients, performing network management functions.

E-VEDGE

2020 ◽  
pp. 1538-1556
Author(s):  
Mira Rani Debbarma ◽  
Sangita Rani Bhowmik ◽  
Abhishek Majumder
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Delaunay Triangulation ◽  
Critical Issue ◽  
Wireless Sensor ◽  
Voronoi Polygon ◽  
Maximum Coverage ◽  
Minimization Technique ◽  
Simulation Results

Hole minimization in wireless sensor networks is a critical issue. In the presence of obstacles, the issue becomes much more challenging. In this article, a hole minimization technique named enhanced VEDGE (E-VEDGE) has been proposed. The scheme uses both the Voronoi polygon and Delaunay triangulation so that it can work efficiently in presence of obstacle. The proposed scheme, along with two other existing schemes namely: VEDGE and the Delaunay Triangulation-Score (DT-Score) has been simulated. Simulation results show that while the proposed E-VEDGE provides a maximum coverage of 95% to 96.8%, VEDGE and DT-Score provide maximum coverage of 89% to 92.5% and 86% to 87%, respectively.

Self‐Potential Data Acquisition Using Wireless Sensor Networks

2012 ◽  
Author(s):  
Justin Rittgers ◽  
Brian Hoenes ◽  
Kerri Stone ◽  
Scott Ikard
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Acquisition ◽  
Wireless Sensor ◽  
Self Potential

E-VEDGE

2018 ◽  
Vol 9 (4) ◽  
pp. 54-74 ◽  
Author(s):  
Mira Rani Debbarma ◽  
Sangita Rani Bhowmik ◽  
Abhishek Majumder
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Delaunay Triangulation ◽  
Critical Issue ◽  
Wireless Sensor ◽  
Voronoi Polygon ◽  
Maximum Coverage ◽  
Minimization Technique ◽  
Simulation Results

Hole minimization in wireless sensor networks is a critical issue. In the presence of obstacles, the issue becomes much more challenging. In this article, a hole minimization technique named enhanced VEDGE (E-VEDGE) has been proposed. The scheme uses both the Voronoi polygon and Delaunay triangulation so that it can work efficiently in presence of obstacle. The proposed scheme, along with two other existing schemes namely: VEDGE and the Delaunay Triangulation-Score (DT-Score) has been simulated. Simulation results show that while the proposed E-VEDGE provides a maximum coverage of 95% to 96.8%, VEDGE and DT-Score provide maximum coverage of 89% to 92.5% and 86% to 87%, respectively.

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