scholarly journals MAC-Aware and Power-Aware Image Aggregation Scheme in Wireless Visual Sensor Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Yui-Liang Chen ◽  
Hong-Hsu Yen
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Image Transmission ◽  
Visual Sensor ◽  
Transmission Image ◽  
Scalar Data ◽  
Aggregation Scheme ◽  
The Mathematical Model

Traditional wireless sensor networks (WSNs) transmit the scalar data (e.g., temperature and irradiation) to the sink node. A new wireless visual sensor network (WVSN) that can transmit images data is a more promising solution than the WSN on sensing, detecting, and monitoring the environment to enhance awareness of the cyber, physical, and social contexts of our daily activities. However, the size of image data is much bigger than the scalar data that makes image transmission a challenging issue in battery-limited WVSN. In this paper, we study the energy efficient image aggregation scheme in WVSN. Image aggregation is a possible way to eliminate the redundant portions of the image captured by different data source nodes. Hence, transmission power could be reduced via the image aggregation scheme. However, image aggregation requires image processing that incurs node processing power. Besides the additional energy consumption from node processing, there is another MAC-aware retransmission energy loss from image aggregation. In this paper, we first propose the mathematical model to capture these three factors (image transmission, image processing, and MAC retransmission) in WVSN. Numerical results based on the mathematical model and real WVSN sensor node (i.e., Meerkats node) are performed to optimize the energy consumption tradeoff between image transmission, image processing, and MAC retransmission.

Research on Jobshop Scheduling Problem with Energy Consumption

2011 ◽  
Vol 314-316 ◽  
pp. 2071-2075
Author(s):  
Jia Hai Wang ◽  
Wen Tao Gong
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Processing Time ◽  
Electric Energy ◽  
Low Carbon ◽  
Load Shifting ◽  
Electric Energy Consumption ◽  
Jobshop Scheduling ◽  
Time Division ◽  
The Mathematical Model

Discrete machine manufacture enterprises have to induce new low-carbon manufacturing model in order to solve a dilemma of mutual restraint between development and electric energy consumption. The paper presents an approach to solve JSP with the objective of minimizing the energy consumption by shortening the distance between electricity peak and valley according to theory of load shifting in electricity. The mathematical model is proposed for JSP with objective of minimizing the energy consumption and processing time of entire batch, then the idea of time division is introduced, and a solving method based on GA built-in eM-Plant is employed to verify the model and get satisfactory scheduling results.Discrete machine manufacture enterprises have to induce new low-carbon manufacturing model in order to solve a dilemma of mutual restraint between development and electric energy consumption. The paper presents an approach to solve JSP with the objective of minimizing the energy consumption by shortening the distance between electricity peak and valley according to theory of load shifting in electricity. The mathematical model is proposed for JSP with objective of minimizing the energy consumption and processing time of entire batch, then the idea of time division is introduced, and a solving method based on GA built-in eM-Plant is employed to verify the model and get satisfactory scheduling results.

Security Framework for Smart Visual Sensor Networks

2019 ◽  
pp. 230-252
Author(s):  
G. Suseela ◽  
Y. Asnath Victy Phamila
Keyword(s):  
Sensor Networks ◽  
Embedded System ◽  
Image Encryption ◽  
Image Sensor ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Partial Encryption ◽  
Visual Sensor Networks ◽  
Resource Limited ◽  
Scalar Data

Due to the significance of image data over the scalar data, the camera-integrated wireless sensor networks have attained the focus of researchers in the field of smart visual sensor networks. These networks are inexpensive and found wide application in surveillance and monitoring systems. The challenge is that these systems are resource deprived systems. The visual sensor node is typically an embedded system made up of a light weight processor, low memory, low bandwidth transceiver, and low-cost image sensor unit. As these networks carry sensitive information of the surveillance region, security and privacy protection are critical needs of the VSN. Due to resource limited nature of the VSN, the image encryption is crooked into an optimally lower issue, and many findings of image security in VSN are based on selective or partial encryption systems. The secure transmission of images is more trivial. Thus, in this chapter, a security frame work of smart visual sensor network built using energy-efficient image encryption and coding systems designed for VSN is presented.

Cluster Trisecting Based Data Aggregation Scheme for Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 1126-1130
Author(s):  
Jiang Hong Guo ◽  
De Li Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Important Method ◽  
Cluster Aggregation ◽  
Aggregation Scheme ◽  
Reduce Energy Consumption

Data aggregation is an important method to reduce energy consumption in wireless sensor networks (WSN). Auth-ors proposed a cluster trisecting based data aggregation scheme for wireless sensor networks in which the cluster was trisected and some reporters were assigned to each region. The nodes have same reading and located in same region with reporter will keep silent in data aggregating, thus reducing the inner-cluster transmissions. Analysis and simulation show that the transmissions of inner-cluster aggregation in our scheme lower than that of related schemes and the decrease of trans-missions is obvious when redundancy of sensor readings is high.

An Efficient Sleeping Scheduling for Saving Energy Consumption in Wireless Sensor Networks

2012 ◽  
Vol 229-231 ◽  
pp. 1261-1264
Author(s):  
Li Peng Lu ◽  
Ming Yue Zhai ◽  
Ying Liu ◽  
Xiao Da Sun
Keyword(s):  
Mathematical Model ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Smart Grid ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Reduce Energy Consumption ◽  
Battery Energy ◽  
Sleep Mechanism

Wireless Sensor Networks (WSNs) has been widely recognized as a promising technology in smart grid. However, sensor nodes have limited battery energy. So, we present a mathematical model which is to reduce energy consumption and prolong the lifetime of WSNs. Because of the high density of sensor nodes deployment, a sleep mechanism is proposed to make all sensor nodes work by turns while all service requests can be satisfied. And then, an Improved Sleep Mechanism is put forward to remove redundant active nodes. The simulation result indicates that energy consumption adopting the ISNSS is lower than or equal to the energy consumption adopting SNSS. The SNSS and ISNSS all can save some energy of WSNs to some extent and when the redundant active nodes are removed, the network energy consumption is further reduced based on the SNSS.

Design of Deployment Mechanim of Steel Ball and Surface Defects Recognition

2013 ◽  
Vol 274 ◽  
pp. 245-248 ◽  
Author(s):  
Yan Ling Zhao ◽  
Wan Bo Che ◽  
Kai Zhou ◽  
Jia Ping Xuan
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Motion Analysis ◽  
Surface Defects ◽  
Steel Ball ◽  
Simulation Based ◽  
Ball Surface ◽  
Low Efficiency ◽  
The Mathematical Model ◽  
Ball Motion

At present, the steel ball surface defects are usually detected by manual work, but it has low efficiency and low reliability. For the current situation, in this paper, we design the steel ball deployment mechanism based on image processing technology, establish the mathematical model of the shooting point trajectory and determine the amount and location of the shooting points by the steel ball motion analysis. By the simulation based on Mathematica and Java, verify the effectiveness of the steel ball deployment mechanism in steel ball unfolding and defects recognition. Thus, the steel ball surface can be completely detected.

scholarly journals Development and Evaluation of Energy-Saving Electro-Hydraulic Actuator

Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 302
Author(s):  
Triet Hung Ho ◽  
Thanh Danh Le
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Recovery ◽  
Hydraulic Systems ◽  
Hydraulic Actuator ◽  
High Effectiveness ◽  
Simulation Results ◽  
The Mathematical Model ◽  
Insight Into

This paper will develop a novel electro-hydraulic actuator with energy saving characteristics. This system is able to work in differential configurations through the shifting algorithm of the valves, meaning that this developed system can be adjusted flexibly to obtain the desirable working requirements including the high effectiveness of energy recovery from the load, high velocity or torque. Instead of establishing the mathematical model for the purpose of the dynamic analysis, a model of the developed actuator is built in AMESim software. The simulation results reveal that the system is able to save approximately 20% energy consumption compared with a traditional without energy recovery EHA. Furthermore, to evaluate the accuracy of the model, experiments will be performed that prove strongly that the experimental results are well matched to the results attained from the simulation model. This work also offers a useful insight into designing and analyzing hydraulic systems without experiments.

Architecture Exploration Based on Tasks Partitioning Between Hardware, Software and Locality for a Wireless Vision Sensor Node

2012 ◽  
Vol 3 (2) ◽  
pp. 58-71 ◽  
Author(s):  
Muhammad Imran ◽  
Khursheed Khursheed ◽  
Abdul Waheed Malik ◽  
Naeem Ahmad ◽  
Mattias O’Nils ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Sensor Node ◽  
High Energy ◽  
Sensor Nodes ◽  
Vision Sensor ◽  
Visual Sensor ◽  
Battery Lifetime ◽  
Processing Strategies ◽  
Reconfigurable Platform

Wireless Vision Sensor Networks (WVSNs) is an emerging field which consists of a number of Visual Sensor Nodes (VSNs). Compared to traditional sensor networks, WVSNs operates on two dimensional data, which requires high bandwidth and high energy consumption. In order to minimize the energy consumption, the focus is on finding energy efficient and programmable architectures for the VSN by partitioning the vision tasks among hardware (FPGA), software (Micro-controller) and locality (sensor node or server). The energy consumption, cost and design time of different processing strategies is analyzed for the implementation of VSN. Moreover, the processing energy and communication energy consumption of VSN is investigated in order to maximize the lifetime. Results show that by introducing a reconfigurable platform such as FPGA with small static power consumption and by transmitting the compressed images after pixel based tasks from the VSN results in longer battery lifetime for the VSN.

Research of Riveting Structure Identification and Characteristic Parameter Analysis Based on SVM

2014 ◽  
Vol 1049-1050 ◽  
pp. 1554-1557
Author(s):  
Jian Feng Yang ◽  
Gang Jiang ◽  
Jian Fei Chen
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Research Result ◽  
Characteristic Parameter ◽  
Parameter Analysis ◽  
Structure Identification ◽  
Support Vector ◽  
Vector Machines ◽  
Set Up ◽  
The Mathematical Model

In order to help department to make a decision whether the equipment need maintenance, some people trained the sample of characteristic parameter for riveting structure, and set up the model to recognize target by computer vision. However, we are difficult to find the research result about the affiliation between the characteristic parameter of the riveting structure and the model. In this paper, we make the image processing first, and use SVM (Support Vector Machines) algorithm to train the sample of characteristic parameter for rivet head. Finally, we research the affiliation between the characteristic parameter for the rivet head and the mathematical model, and test the accuracy of the model.

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