A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks

2017 ◽  
Vol 7 (1) ◽  
pp. 91-104 ◽  
Author(s):  
Sushree Bibhuprada B. Priyadarshini ◽  
Suvasini Panigrahi
Keyword(s):  
Sensor Networks ◽  
Data Transmission ◽  
Central Point ◽  
Selection Scheme ◽  
Coverage Ratio ◽  
Redundant Data ◽  
Power Expenditure ◽  
Exchange Information ◽  
Selection For

This research presents a novel distributed strategy for actuation of reduced number of cameras motivated by scalar controller selection for eliminating the amount of redundant data transmission taking place in any geographic zone under speculation. The proposed framework is based on dividing the monitored region into a number of virtual compartments. A scalar controller is selected in each of the compartments, which is chosen in such a manner that its distance is the minimum among all the scalars from the central point of the concerned compartment. Further, all the cameras are arranged in a predetermined circular fashion. Whenever, an event takes place, the scalar controllers inform their respective cameras regarding its occurrence. The cameras collaboratively exchange information among themselves for deciding which among them are to be actuated. The least camera activation, enhanced coverage ratio, minimized redundancy ratio, reduced energy and power expenditure obtained from the experimental outcomes affirm the effectiveness of our proposed method over other approaches.

scholarly journals Enhanced Event Coverage and Redundant Data Minimization Employing Pentagonal Scalar Premier Selection in Wireless Multimedia Sensor Networks (WMSNs)

2019 ◽  
Vol 8 (12S) ◽  
pp. 221-228
Keyword(s):  
Sensor Networks ◽  
Data Transfer ◽  
Experimental Studies ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Coverage Ratio ◽  
Multimedia Sensor Networks ◽  
Redundant Data ◽  
Event Information ◽  
Camera Sensors

In the modern era, data redundancy has become one among the predominant ultimatums encountered in Wireless Multimedia Sensor Networks (WMSNs), which occurs because of event information reporting through the scalars residing at the superimposing zones of field of views (FoVs) of multiple camera sensors. As a result, same data is transferred many times, thus leading to redundancy in data transfer. Therefore, the aim is to select the representatives of scalar sensors called scalar premiers (SPs) that can report the event information in lieu of all the scalars while diminishing the redundant data transfer and improving the event coverage. We have proffered a pentagonal scheme of SP selection that chooses five SPs in each of the virtual compartments of the monitored zone efficiently. The chosen SPs operate as nominee of scalars for event information transmittal. Extensive experiments have been accomplished to affirm the efficiency of our proffered method. We changed the number of cameras deployed (noc) and the number of scalars deployed (nos). The results attained from the experimental studies in terms of number of camera sensors activated (nca), coverage ratio (cr), redundancy ratio (rr), event loss ratio (elr) and energy expenditure for camera actuation (eeca) assert the superiority of our profferred approach over existing approaches.

Multi-AUV Aided Cooperative 3D-localization for Underwater Sensor Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Meiyan Zhang ◽  
Wenyu Cai
Keyword(s):  
Sensor Networks ◽  
Mean Squared Error ◽  
Autonomous Underwater Vehicles ◽  
Estimation Method ◽  
Location Estimation ◽  
Underwater Sensor Networks ◽  
Coverage Ratio ◽  
Minimum Mean Squared Error ◽  
3D Localization ◽  
Localization Scheme

Background: Effective 3D-localization in mobile underwater sensor networks is still an active research topic. Due to the sparse characteristic of underwater sensor networks, AUVs (Autonomous Underwater Vehicles) with precise positioning abilities will benefit cooperative localization. It has important significance to study accurate localization methods. Methods: In this paper, a cooperative and distributed 3D-localization algorithm for sparse underwater sensor networks is proposed. The proposed algorithm combines with the advantages of both recursive location estimation of reference nodes and the outstanding self-positioning ability of mobile AUV. Moreover, our design utilizes MMSE (Minimum Mean Squared Error) based recursive location estimation method in 2D horizontal plane projected from 3D region and then revises positions of un-localized sensor nodes through multiple measurements of Time of Arrival (ToA) with mobile AUVs. Results: Simulation results verify that the proposed cooperative 3D-localization scheme can improve performance in terms of localization coverage ratio, average localization error and localization confidence level. Conclusion: The research can improve localization accuracy and coverage ratio for whole underwater sensor networks.

An Energy Efficient Routing Approach to Enhance Coverage for Application Specific Wireless Sensor Networks using Genetic Algorithm

2019 ◽  
Vol 13 ◽  
Author(s):  
Amandeep Kaur Sohal ◽  
Ajay Kumar Sharma ◽  
Neetu Sood
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Search Algorithm ◽  
Cluster Formation ◽  
Green Computing ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Background: An information gathering is a typical and important task in agriculture monitoring and military surveillance. In these applications, minimization of energy consumption and maximization of network lifetime have prime importance for green computing. As wireless sensor networks comprise of a large number of sensors with limited battery power and deployed at remote geographical locations for monitoring physical events, therefore it is imperative to have minimum consumption of energy during network coverage. The WSNs help in accurate monitoring of remote environment by collecting data intelligently from the individual sensors. Objective: The paper is motivated from green computing aspect of wireless sensor network and an Energy-efficient Weight-based Coverage Enhancing protocol using Genetic Algorithm (WCEGA) is presented. The WCEGA is designed to achieve continuously monitoring of remote areas for a longer time with least power consumption. Method: The cluster-based algorithm consists two phases: cluster formation and data transmission. In cluster formation, selection of cluster heads and cluster members areas based on energy and coverage efficient parameters. The governing parameters are residual energy, overlapping degree, node density and neighbor’s degree. The data transmission between CHs and sink is based on well-known evolution search algorithm i.e. Genetic Algorithm. Conclusion: The results of WCEGA are compared with other established protocols and shows significant improvement of full coverage and lifetime approximately 40% and 45% respectively.

scholarly journals Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Data Transmission ◽  
System Integration ◽  
Structural Integrity ◽  
Low Cost ◽  
Data Communication ◽  
Total Cost ◽  
Design And Optimization ◽  
Successful Case

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

scholarly journals A Data-Based Fault-Detection Model for Wireless Sensor Networks

2019 ◽  
Vol 11 (21) ◽  
pp. 6171 ◽  
Author(s):  
Jangsik Bae ◽  
Meonghun Lee ◽  
Changsun Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Detection ◽  
Data Transmission ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensors And Actuators ◽  
Detection Model ◽  
Management Platform

With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optimized for smart farms was implemented as an example, and resource management of sensors and actuators was provided using the oneM2M common platform. The effectiveness of the proposed fault-detection model was verified on an integrated management platform based on the Internet of Things by collecting and analyzing data. The results confirm that when a faulty sensor node is not separated from the network, unnecessary data transmission of other sensor nodes occurs due to continuous abnormal data transmission; thus, increasing energy consumption and reducing the network lifetime.

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