Pub Date : 2016-12-01DOI: 10.1109/AIC-MITCSA.2016.7759945
A. Al-Sadi, Ali Al-Sherbaz, J. Xue, Scott J. Turner
Software Defined Network (SDN) provides a new fine-grained interface enables the routing algorithm to have an a global view of the network throughputs, connectivity and flows at the data-path. This paper aims to provide a novel approach for dynamic routing algorithm for Software Defined Network in Wide Area Network (SDN-WAN); based on using a modified shortest-widest path algorithm with a fine-grained statistical method from the OpenFlow interface, called Shortest-Feasible OpenFlow Path (SFOP). This algorithm is designed to identify the optimal route from source to destination, providing efficient utilization of the SDN-WAN resources. It achieves this aim by considering both the flow requirements and the current state of the network. SFOP computes the optimal path which provides the feasible bandwidth with the lowest hop count (delay). That will present better stability in SDN communication, QoS, and usage of available resources. Moreover, this algorithm will be the base for an SDN controller because it extracts the widest available bandwidth from source to destination for a single path. It enables the controller to decide whether it is enough to use this simple algorithm only, or if a more complicated algorithm that provides larger bandwidth such as multiple-path algorithms is needed. Finally, a testbed has been implemented using MATLAB Simulator, Pox controller, and Mininet emulator will be discussed. The latency comparison of SFOP algorithm with three other algorithm's latencies shows that this algorithm finds better latency for an optimal path. Evidence will be shown that demonstrates that SFOP has good stability in dynamic changes of SDN-WAN.
{"title":"Routing algorithm optimization for software defined network WAN","authors":"A. Al-Sadi, Ali Al-Sherbaz, J. Xue, Scott J. Turner","doi":"10.1109/AIC-MITCSA.2016.7759945","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759945","url":null,"abstract":"Software Defined Network (SDN) provides a new fine-grained interface enables the routing algorithm to have an a global view of the network throughputs, connectivity and flows at the data-path. This paper aims to provide a novel approach for dynamic routing algorithm for Software Defined Network in Wide Area Network (SDN-WAN); based on using a modified shortest-widest path algorithm with a fine-grained statistical method from the OpenFlow interface, called Shortest-Feasible OpenFlow Path (SFOP). This algorithm is designed to identify the optimal route from source to destination, providing efficient utilization of the SDN-WAN resources. It achieves this aim by considering both the flow requirements and the current state of the network. SFOP computes the optimal path which provides the feasible bandwidth with the lowest hop count (delay). That will present better stability in SDN communication, QoS, and usage of available resources. Moreover, this algorithm will be the base for an SDN controller because it extracts the widest available bandwidth from source to destination for a single path. It enables the controller to decide whether it is enough to use this simple algorithm only, or if a more complicated algorithm that provides larger bandwidth such as multiple-path algorithms is needed. Finally, a testbed has been implemented using MATLAB Simulator, Pox controller, and Mininet emulator will be discussed. The latency comparison of SFOP algorithm with three other algorithm's latencies shows that this algorithm finds better latency for an optimal path. Evidence will be shown that demonstrates that SFOP has good stability in dynamic changes of SDN-WAN.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759918
Mohammad Hameed Khazaal, Isam M. Abdulbaqi, R. Thejel
In this research a modeling, design and analysis of the most suitable dimensions and the number of turns of the induction coil required for a certain brazing process was done by using FEM. Ansoft Maxwell computer package is used for this purpose. The simulation determines the electromagnetic field distribution inside the work coil by the required excitation current and frequency. Then the optimal work coil is determined. Also, it is used to determine the required magnitude of the load resonant circuit capacitance to achieve this frequency. The simulation describes the expected behavior of the load parameters during the brazing process.
{"title":"Modeling, design and analysis of an induction heating coil for brazing process using FEM","authors":"Mohammad Hameed Khazaal, Isam M. Abdulbaqi, R. Thejel","doi":"10.1109/AIC-MITCSA.2016.7759918","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759918","url":null,"abstract":"In this research a modeling, design and analysis of the most suitable dimensions and the number of turns of the induction coil required for a certain brazing process was done by using FEM. Ansoft Maxwell computer package is used for this purpose. The simulation determines the electromagnetic field distribution inside the work coil by the required excitation current and frequency. Then the optimal work coil is determined. Also, it is used to determine the required magnitude of the load resonant circuit capacitance to achieve this frequency. The simulation describes the expected behavior of the load parameters during the brazing process.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"55 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114052965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759913
S. Ali, A. Maher
Multiple sclerosis (MS) is a disease of the central nervous system (CNS), it is inflammation or decay in a myelin's substance (Demyelination). The causes of the disease is unknown yet, but it is believed to be caused by a combination of many genetic and environmental factors including: geographical distribution (i e less spread closer to the equator), and hereditary reasons. Currently, the diagnosis is depending on the clinical diagnosis of the symptoms of the disease, but the evolution in medical imaging (eg. MRI) can help in detecting the presence of lesions in the white or gray matter of the brain's tissues. In this research, many digital image processor techniques have been adopted and used to detect the lesions sites. An adaptive method is introduced to skinning the brain tissue from the skull's bones. Many edges detection methods have been suggested to segment the MRIs brain tissues (i. e first and second order differentiation methods). The second order Marr-Hildreth method is adopted because it produces thin edge and connected boundaries.
{"title":"Identifying multiple sclerosis lesions in MR images using image processing techniques","authors":"S. Ali, A. Maher","doi":"10.1109/AIC-MITCSA.2016.7759913","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759913","url":null,"abstract":"Multiple sclerosis (MS) is a disease of the central nervous system (CNS), it is inflammation or decay in a myelin's substance (Demyelination). The causes of the disease is unknown yet, but it is believed to be caused by a combination of many genetic and environmental factors including: geographical distribution (i e less spread closer to the equator), and hereditary reasons. Currently, the diagnosis is depending on the clinical diagnosis of the symptoms of the disease, but the evolution in medical imaging (eg. MRI) can help in detecting the presence of lesions in the white or gray matter of the brain's tissues. In this research, many digital image processor techniques have been adopted and used to detect the lesions sites. An adaptive method is introduced to skinning the brain tissue from the skull's bones. Many edges detection methods have been suggested to segment the MRIs brain tissues (i. e first and second order differentiation methods). The second order Marr-Hildreth method is adopted because it produces thin edge and connected boundaries.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128413673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759951
Hayder Hendi, Adeel Ahmad, M. Bouneffa, C. Fonlupt
The Logistic processes generally lead to complex physical flows dealing with various logistic elements. It has been widely observed that the quality of uncontrolled processes decline with the evolving complexity. It may make them incoherent and quasi obsoletes. Thus, the continuous optimization of logistic processes is essential for the consistent continuity of logistic activities, and henceforth, it supports their desired growth. In this paper, we propose a reasoning system that uses the conceptual domain of logistics and their optimization. The proposed approach is mainly based on the definition of logistic terminologies using ontology. We intend, that a logistic expert may use defined terms to specify a problem. These can be matched to extract the involved logistic processes. It may assist a logistics expert to identify and/or precisely specify the logistic problem. Furthermore, it may identify the logistic processes, that can be executed, to resolve the problem and consequently to resolve the inherent optimization problems. We have been experimenting the different solutions of the Passenger Transportation Problem and eventually built a software framework (based on the composition of web services), to semi-automatically assist the resolution procedure of identified optimization problems.
{"title":"Ontology based reasoning for solving passenger train optimization problem","authors":"Hayder Hendi, Adeel Ahmad, M. Bouneffa, C. Fonlupt","doi":"10.1109/AIC-MITCSA.2016.7759951","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759951","url":null,"abstract":"The Logistic processes generally lead to complex physical flows dealing with various logistic elements. It has been widely observed that the quality of uncontrolled processes decline with the evolving complexity. It may make them incoherent and quasi obsoletes. Thus, the continuous optimization of logistic processes is essential for the consistent continuity of logistic activities, and henceforth, it supports their desired growth. In this paper, we propose a reasoning system that uses the conceptual domain of logistics and their optimization. The proposed approach is mainly based on the definition of logistic terminologies using ontology. We intend, that a logistic expert may use defined terms to specify a problem. These can be matched to extract the involved logistic processes. It may assist a logistics expert to identify and/or precisely specify the logistic problem. Furthermore, it may identify the logistic processes, that can be executed, to resolve the problem and consequently to resolve the inherent optimization problems. We have been experimenting the different solutions of the Passenger Transportation Problem and eventually built a software framework (based on the composition of web services), to semi-automatically assist the resolution procedure of identified optimization problems.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759927
M. A. Raheem, E. A. Hussein
This paper illustrated the use of the Cubic spline Technique (CST) to analyze the EEG signals. It is provides full description of the extraction of the knots of EEG signals and then a discussion of how to select the optimum location of the knot and reducing the knots. Also the paper discussed that the feature extracted dependent on the optimal position of the knots. The initial results show the highest degree of accuracy to distinguish between five classes.
{"title":"Feature extraction of brain event-related potentials using cubic spline technique","authors":"M. A. Raheem, E. A. Hussein","doi":"10.1109/AIC-MITCSA.2016.7759927","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759927","url":null,"abstract":"This paper illustrated the use of the Cubic spline Technique (CST) to analyze the EEG signals. It is provides full description of the extraction of the knots of EEG signals and then a discussion of how to select the optimum location of the knot and reducing the knots. Also the paper discussed that the feature extracted dependent on the optimal position of the knots. The initial results show the highest degree of accuracy to distinguish between five classes.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759920
S. Hasan
3-D raw data collections introduce noise and artifacts that need to be recovered from degradation by an automated filtering system before further machine analysis. Serving this goal, five performance-efficient FPGA-prototyped processors are devised to realize parallel 3-D “filtering algorithm”. These parallel processors tackle the major bottlenecks and limitations of existing multiprocessor systems in input volumetric data, processing word-length, output boundary conditions and inter-processor communications. Then, greyscale 256×256×20 MRI case study are efficiently filtered and improved by a class of common convolution operators and their developed ones respectively. Analytically, the performance of the five implemented processors are evaluated in term of area, speed, dynamic power, and throughput. All five processors efficiently perform in high real-time throughput up to (114 VPS), lowest power consumption of down to (64 mW) at maximum operating frequency. The devised processors can be embedded in mobile MRI or fMRI scanner and as a pre-filtering stage in any portable automated fMRI systems.
{"title":"Performance-vetted 3-D MAC processors for parallel volumetric convolution algorithm: A 256×256×20 MRI filtering case study","authors":"S. Hasan","doi":"10.1109/AIC-MITCSA.2016.7759920","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759920","url":null,"abstract":"3-D raw data collections introduce noise and artifacts that need to be recovered from degradation by an automated filtering system before further machine analysis. Serving this goal, five performance-efficient FPGA-prototyped processors are devised to realize parallel 3-D “filtering algorithm”. These parallel processors tackle the major bottlenecks and limitations of existing multiprocessor systems in input volumetric data, processing word-length, output boundary conditions and inter-processor communications. Then, greyscale 256×256×20 MRI case study are efficiently filtered and improved by a class of common convolution operators and their developed ones respectively. Analytically, the performance of the five implemented processors are evaluated in term of area, speed, dynamic power, and throughput. All five processors efficiently perform in high real-time throughput up to (114 VPS), lowest power consumption of down to (64 mW) at maximum operating frequency. The devised processors can be embedded in mobile MRI or fMRI scanner and as a pre-filtering stage in any portable automated fMRI systems.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759915
Amina Mahdi, Saad S. Hreshee
With the significant development in communication systems especially in the public channels through which our information travels, there are more increasing in the channels problems. Among these problems, the information security is the important object that should be enhanced. In this paper a security model based on chaotic system has been designed to be used to encrypt voice signal. An exclusive OR operation used between the digital input signal and chaotic map which is also convert to binary bits. The simulation results show that the Cpestral Distance Measure (CD) in the proposed system is increased by (4.5778) in comparing with the time domain scrambling. Also dlpc increased by (4.336) in comparing with time domain. The key space in the first two methods ADCs is 1.96 × 1064 × range of parameters, while in the third method is 3.8426 × 10128 × (range of parameters)2.
{"title":"Design and implementation of voice encryption system using XOR based on Hénon map","authors":"Amina Mahdi, Saad S. Hreshee","doi":"10.1109/AIC-MITCSA.2016.7759915","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759915","url":null,"abstract":"With the significant development in communication systems especially in the public channels through which our information travels, there are more increasing in the channels problems. Among these problems, the information security is the important object that should be enhanced. In this paper a security model based on chaotic system has been designed to be used to encrypt voice signal. An exclusive OR operation used between the digital input signal and chaotic map which is also convert to binary bits. The simulation results show that the Cpestral Distance Measure (CD) in the proposed system is increased by (4.5778) in comparing with the time domain scrambling. Also dlpc increased by (4.336) in comparing with time domain. The key space in the first two methods ADCs is 1.96 × 1064 × range of parameters, while in the third method is 3.8426 × 10128 × (range of parameters)2.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132293229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759950
Sara Khosravi, A. Chalechale
Skin color recognition is a useful and popular method in human-computer interaction and also in analyzing the content. In addition, the application programs for recognizing and detecting human body parts, faces, naked people, and retrieving individuals in multimedia databases all make use of skin recognition. Thus, finding a suitable method in order to segment the pixels of an image into different groups such as skin can be very important. Imperialist competitive algorithm (ICA) is a recently introduced evolutionary algorithm that showed a promising performance in some of the optimization problems. In this article, first the combined ICA-ANN, continuous genetic algorithm (CGA) and gradient descent algorithm were proposed and their performance was tested on images in RGB color spaces. In the proposed algorithms, a multilayer perceptron neural network manages the problem's constraints, and ICA and genetic algorithms search to calculate the best response than the gradient descent algorithm. The proposed skin classification algorithms perform directly on the RGB color space. The results clearly indicate that the proposed algorithm significantly improves the performance of an MLP neural network.
{"title":"A hybrid neural network using ICA and CGA for skin detection in RGB images","authors":"Sara Khosravi, A. Chalechale","doi":"10.1109/AIC-MITCSA.2016.7759950","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759950","url":null,"abstract":"Skin color recognition is a useful and popular method in human-computer interaction and also in analyzing the content. In addition, the application programs for recognizing and detecting human body parts, faces, naked people, and retrieving individuals in multimedia databases all make use of skin recognition. Thus, finding a suitable method in order to segment the pixels of an image into different groups such as skin can be very important. Imperialist competitive algorithm (ICA) is a recently introduced evolutionary algorithm that showed a promising performance in some of the optimization problems. In this article, first the combined ICA-ANN, continuous genetic algorithm (CGA) and gradient descent algorithm were proposed and their performance was tested on images in RGB color spaces. In the proposed algorithms, a multilayer perceptron neural network manages the problem's constraints, and ICA and genetic algorithms search to calculate the best response than the gradient descent algorithm. The proposed skin classification algorithms perform directly on the RGB color space. The results clearly indicate that the proposed algorithm significantly improves the performance of an MLP neural network.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130712945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759905
Hanady S. Ahmed, Abduladheem A. Ali
A healthcare monitoring system is designed which can be used in the hospitals to monitor people who need to an intensive care. This system can be implemented on many biological signals. ECG signal is selected for put in practice in this work. Since ECG signal is measured in mille volt, it needs to be amplified. Also it is a noisy signal, so it needs to be filtered. ECG acquisition part contains AD620 Instrumentation Amplifier due to its low current noise. The network of patients nodes are require to be available in the intensive care room for measurement. A base node collects these many signals to be monitored in the nursing room. For wireless transmitreceive, nRF24L01+ wireless module is used. ATmega328 MCU in the Arduino Uno board is used in all node. LabVIEW software is programmed to display ECG signals as a waveform chart. For transferring ECG signals to the remote doctor, a Web Pager tool in the LabVIEW program is employed. So the remote doctor could be check his patients condition through internet. The system was implemented for three nodes.
{"title":"Smart intensive care unit desgin based on wireless sensor network and internet of things","authors":"Hanady S. Ahmed, Abduladheem A. Ali","doi":"10.1109/AIC-MITCSA.2016.7759905","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759905","url":null,"abstract":"A healthcare monitoring system is designed which can be used in the hospitals to monitor people who need to an intensive care. This system can be implemented on many biological signals. ECG signal is selected for put in practice in this work. Since ECG signal is measured in mille volt, it needs to be amplified. Also it is a noisy signal, so it needs to be filtered. ECG acquisition part contains AD620 Instrumentation Amplifier due to its low current noise. The network of patients nodes are require to be available in the intensive care room for measurement. A base node collects these many signals to be monitored in the nursing room. For wireless transmitreceive, nRF24L01+ wireless module is used. ATmega328 MCU in the Arduino Uno board is used in all node. LabVIEW software is programmed to display ECG signals as a waveform chart. For transferring ECG signals to the remote doctor, a Web Pager tool in the LabVIEW program is employed. So the remote doctor could be check his patients condition through internet. The system was implemented for three nodes.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129084641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-09DOI: 10.1109/AIC-MITCSA.2016.7759900
Hikmat N. Abdullah, T. M. Salman, Haider A. H. Alobaidy
This paper has two objectives. First, to design and implement a prototype of WSN for monitoring power as well as temperature in buildings. Second, to evaluate the amount of improvement introduced to the ZigBee transceiver when channel-coding method is used. The results indicated that the use of ZigBee based WSN in electric power monitoring provides flexibility and helps in reducing power consumption. Furthermore, the simulation results show that using Convolutional Coding (CC) in ZigBee transceiver gives better performance compared to traditional ZigBee transceivers specially at CC of code rate 1/8.
{"title":"Design of a ZigBee based WSN with channel coding for energy and temperature monitoring","authors":"Hikmat N. Abdullah, T. M. Salman, Haider A. H. Alobaidy","doi":"10.1109/AIC-MITCSA.2016.7759900","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759900","url":null,"abstract":"This paper has two objectives. First, to design and implement a prototype of WSN for monitoring power as well as temperature in buildings. Second, to evaluate the amount of improvement introduced to the ZigBee transceiver when channel-coding method is used. The results indicated that the use of ZigBee based WSN in electric power monitoring provides flexibility and helps in reducing power consumption. Furthermore, the simulation results show that using Convolutional Coding (CC) in ZigBee transceiver gives better performance compared to traditional ZigBee transceivers specially at CC of code rate 1/8.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123799204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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