In order to develop the ability to be competitive in considering rapidly growing global market and enormously changing in technology, organizations are looking for up-to-date procedures to respond to all these transformations. Being smart and innovative is actually the most significant pillars of successful organization strategies. In other words, organizations need to encourage learning, manage knowledge and create innovative ideas. A major issue of creative ideation is improving the quality of the ideas generated. In this paper, we propose a semantic recommender engine for idea generation in order to assist organizations to improve their ways of generating new ideas. Through this novel system, innovation actors will be able to consider new perspectives, make new connections, think differently and thus produce new promising ideas. We initially introduce the concept behind a smart organization, explore the idea generation in such organizations and examine the role of recommender systems for managing this stage and identifying breakthrough ideas. Next, we present the context of design, the conceptual architecture of the suggested system and finally expand the workflow of semantic similarity matching of ideas with a focus on the key components of the semantic recommendation engine.
{"title":"A Semantic Recommender Engine for Idea Generation Improvement","authors":"M. E. Haiba, Lamyaa Elbassiti, R. Ajhoun","doi":"10.5539/cis.v11n3p112","DOIUrl":"https://doi.org/10.5539/cis.v11n3p112","url":null,"abstract":"In order to develop the ability to be competitive in considering rapidly growing global market and enormously changing in technology, organizations are looking for up-to-date procedures to respond to all these transformations. Being smart and innovative is actually the most significant pillars of successful organization strategies. In other words, organizations need to encourage learning, manage knowledge and create innovative ideas. A major issue of creative ideation is improving the quality of the ideas generated. In this paper, we propose a semantic recommender engine for idea generation in order to assist organizations to improve their ways of generating new ideas. Through this novel system, innovation actors will be able to consider new perspectives, make new connections, think differently and thus produce new promising ideas. We initially introduce the concept behind a smart organization, explore the idea generation in such organizations and examine the role of recommender systems for managing this stage and identifying breakthrough ideas. Next, we present the context of design, the conceptual architecture of the suggested system and finally expand the workflow of semantic similarity matching of ideas with a focus on the key components of the semantic recommendation engine.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"8 1","pages":"112-122"},"PeriodicalIF":0.0,"publicationDate":"2018-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89812753","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}
With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.
{"title":"The Feasibility of Opening Communities - Based on the Wiedemann Car-Following Model","authors":"Xiao-Yan Cao, Bing-Qian Liu, Bao-Ru Pan, Yuan-Biao Zhang","doi":"10.5539/cis.v11n3p57","DOIUrl":"https://doi.org/10.5539/cis.v11n3p57","url":null,"abstract":"With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"74 1","pages":"57-66"},"PeriodicalIF":0.0,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82060630","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}
In this paper, we propose a model that combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) for music generation. We first convert MIDI-format music file into a musical score matrix, and then establish convolution layers to extract feature of the musical score matrix. Finally, the output of the convolution layers is split in the direction of the time axis and input into the LSTM, so as to achieve the purpose of music generation. The result of the model was verified by comparison of accuracy, time-domain analysis, frequency-domain analysis and human-auditory evaluation. The results show that Convolution-LSTM performs better in music genertaion than LSTM, with more pronounced undulations and clearer melody.
{"title":"Music Generation Based on Convolution-LSTM","authors":"Yongjie Huang, Xiaofeng Huang, Qiakai Cai","doi":"10.5539/cis.v11n3p50","DOIUrl":"https://doi.org/10.5539/cis.v11n3p50","url":null,"abstract":"In this paper, we propose a model that combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) for music generation. We first convert MIDI-format music file into a musical score matrix, and then establish convolution layers to extract feature of the musical score matrix. Finally, the output of the convolution layers is split in the direction of the time axis and input into the LSTM, so as to achieve the purpose of music generation. The result of the model was verified by comparison of accuracy, time-domain analysis, frequency-domain analysis and human-auditory evaluation. The results show that Convolution-LSTM performs better in music genertaion than LSTM, with more pronounced undulations and clearer melody.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"20 1","pages":"50-56"},"PeriodicalIF":0.0,"publicationDate":"2018-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78642396","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}
Aiming at solving the waste sorting problems of smart environmental sanitation, this paper proposes a novel smart waste sorting system, which consists of two sub-systems including a hardware system and a software system. The hardware system is of a trash bin framework based on the core module Raspberry Pi and the software one is of an image classification algorithm platform based on SURF-BoW algorithm and multi-class SVM classifier. In our experiment, the images produced during training and testing are both obtained from webcam in our system and extra processing with affine transformation and noise-adding operation. The experimental results show that among the five categories of waste, the battery waste performs best with 100% classification accuracy. Besides, the average classification accuracy is up to 83.38%. Therefore, our system has reliable practicability and robustness, which is expected to be applied to deal with the waste sorting problems in our daily life.
{"title":"Novel Smart Waste Sorting System based on Image Processing Algorithms: SURF-BoW and Multi-class SVM","authors":"Yijian Liu, King-Chi Fung, Wenqian Ding, Hongfei Guo, T. Qu, Cong Xiao","doi":"10.5539/cis.v11n3p35","DOIUrl":"https://doi.org/10.5539/cis.v11n3p35","url":null,"abstract":"Aiming at solving the waste sorting problems of smart environmental sanitation, this paper proposes a novel smart waste sorting system, which consists of two sub-systems including a hardware system and a software system. The hardware system is of a trash bin framework based on the core module Raspberry Pi and the software one is of an image classification algorithm platform based on SURF-BoW algorithm and multi-class SVM classifier. In our experiment, the images produced during training and testing are both obtained from webcam in our system and extra processing with affine transformation and noise-adding operation. The experimental results show that among the five categories of waste, the battery waste performs best with 100% classification accuracy. Besides, the average classification accuracy is up to 83.38%. Therefore, our system has reliable practicability and robustness, which is expected to be applied to deal with the waste sorting problems in our daily life.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"15 1","pages":"35-49"},"PeriodicalIF":0.0,"publicationDate":"2018-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73942930","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}
A proton exchange membrane (PEM) fuel cell is an electrolytic cell that can convert chemical energy of hydrogen reacting with oxygen into electrical energy with no greenhouse gases generated in the process. To satisfy increasingly demanding application needs, providing fuel cells with better performance and higher efficiency are of paramount importance. Computational fluid dynamics (CFD) analysis is an ideal method for fuel cell design optimization. In this paper, a comprehensive CFD-based numerical tool that can accurately simulate multiphase flow and the major transport phenomena occurring in a PEM fuel cell is presented. The tool is developed using the Open Source Field Operation and Manipulation (OpenFOAM) software (a free open-source CFD code). This makes it flexible and suitable for use by fuel cell manufacturers and researchers to get an in-depth understanding of the cell working processes to optimize the design. The distributions of velocity, pressure, chemical species, Nernst potential, current density, and temperature at case study conditions are as expected. The polarization curve follows the same trend as those of the I-V curves from numerical model and experimental data taken from the literature. Furthermore, a parametric study showed thekey role played by the concentration constant in shaping the cell polarization curve. The developed toolbox is well-suited for research and development which is not always the case with commercial code. The work therefore contributes to achieving the objectives outlined in the International Energy Agency (IEA) Advanced Fuel Cell Annex 37 which promotes open-source code modelling of fuel cells. The source code can be accessed athttp://dx.doi.org/10.17632/c743sh73j8.1.
{"title":"An Open-Source Toolbox for Multiphase Flow Simulation in a PEM Fuel Cell","authors":"J. Kone, Xinyu Zhang, Yuying Yan, S. Adegbite","doi":"10.5539/cis.v11n3p10","DOIUrl":"https://doi.org/10.5539/cis.v11n3p10","url":null,"abstract":"A proton exchange membrane (PEM) fuel cell is an electrolytic cell that can convert chemical energy of hydrogen reacting with oxygen into electrical energy with no greenhouse gases generated in the process. To satisfy increasingly demanding application needs, providing fuel cells with better performance and higher efficiency are of paramount importance. Computational fluid dynamics (CFD) analysis is an ideal method for fuel cell design optimization. In this paper, a comprehensive CFD-based numerical tool that can accurately simulate multiphase flow and the major transport phenomena occurring in a PEM fuel cell is presented. The tool is developed using the Open Source Field Operation and Manipulation (OpenFOAM) software (a free open-source CFD code). This makes it flexible and suitable for use by fuel cell manufacturers and researchers to get an in-depth understanding of the cell working processes to optimize the design. The distributions of velocity, pressure, chemical species, Nernst potential, current density, and temperature at case study conditions are as expected. The polarization curve follows the same trend as those of the I-V curves from numerical model and experimental data taken from the literature. Furthermore, a parametric study showed thekey role played by the concentration constant in shaping the cell polarization curve. The developed toolbox is well-suited for research and development which is not always the case with commercial code. The work therefore contributes to achieving the objectives outlined in the International Energy Agency (IEA) Advanced Fuel Cell Annex 37 which promotes open-source code modelling of fuel cells. The source code can be accessed athttp://dx.doi.org/10.17632/c743sh73j8.1.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"79 1","pages":"10-34"},"PeriodicalIF":0.0,"publicationDate":"2018-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84069509","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}
Video conference, as an application of Internet streaming media, has attracted wide attention from both academic and industrial sectors. However, usersmay encounter many problemsindailyuse, such as poor video quality, playback delay, and lack of adjustable context, whichcausenegative impactson customers’usage experience. Existing end-to-end service quality assurance method mainly analyzes the relationship between the target service quality parameters and the context in a “single” manner. In this paper, we propose a Bayesian network-based service quality assurance method (named as Comprehensively Context-Aware approach, CCA), which combines Bayesian network and fuzzy set theoryand obtainsrandomrelationshipsamongdifferent service quality parameters through contextual awareness. Comprehensive experimentsclearly validate the superiority of CCA against other well-established methods.
{"title":"A Bayesian NetworkBased MethodforService Quality Optimization","authors":"Lian Gaofeng","doi":"10.5539/cis.v11n3p1","DOIUrl":"https://doi.org/10.5539/cis.v11n3p1","url":null,"abstract":"Video conference, as an application of Internet streaming media, has attracted wide attention from both academic and industrial sectors. However, usersmay encounter many problemsindailyuse, such as poor video quality, playback delay, and lack of adjustable context, whichcausenegative impactson customers’usage experience. Existing end-to-end service quality assurance method mainly analyzes the relationship between the target service quality parameters and the context in a “single” manner. In this paper, we propose a Bayesian network-based service quality assurance method (named as Comprehensively Context-Aware approach, CCA), which combines Bayesian network and fuzzy set theoryand obtainsrandomrelationshipsamongdifferent service quality parameters through contextual awareness. Comprehensive experimentsclearly validate the superiority of CCA against other well-established methods.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"105 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89684032","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}
Tarik Fissaa, Hatim Guermah, M. Hamlaoui, H. Hafiddi, M. Nassar
Service composition in an important facet in service oriented architecture, it’s about the idea of assembling atomic services to satisfy a demand rather than building new applications from ‘scratch’, From the user’s perspective it’s a complex task due to the increasing number of services in the web and their heterogeneity. This complexity is increasing in the internet of Things era wehere computing devices are everywhere. In this work we propose an approach for composition of context aware services in a semantic manner, Artificial Intelligence planning is used to automate the composition starting from a defined objectif containing user request and context parameters. Service are described by extending OWL-S with contextual conditions. The proposed architecture was evaluated through an e-health scenario where chronic patients can benefit from a remote and automated medical supervision and emergency handling.
{"title":"A Synergy of Semantic and Context Awareness for Service Composition in Ubiquitous Environment","authors":"Tarik Fissaa, Hatim Guermah, M. Hamlaoui, H. Hafiddi, M. Nassar","doi":"10.5539/cis.v11n2p88","DOIUrl":"https://doi.org/10.5539/cis.v11n2p88","url":null,"abstract":"Service composition in an important facet in service oriented architecture, it’s about the idea of assembling atomic services to satisfy a demand rather than building new applications from ‘scratch’, From the user’s perspective it’s a complex task due to the increasing number of services in the web and their heterogeneity. This complexity is increasing in the internet of Things era wehere computing devices are everywhere. In this work we propose an approach for composition of context aware services in a semantic manner, Artificial Intelligence planning is used to automate the composition starting from a defined objectif containing user request and context parameters. Service are described by extending OWL-S with contextual conditions. The proposed architecture was evaluated through an e-health scenario where chronic patients can benefit from a remote and automated medical supervision and emergency handling.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"50 1","pages":"88-98"},"PeriodicalIF":0.0,"publicationDate":"2018-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91542304","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}
The adaptation of mobile application is supportive for the discharge patients in less amount of time. The use of mobile application enables physicians to detect the possible implications of treatment at an early stage. The study aims to provide a support and prevention application for kidney failure patients to monitor their diet, receive notifications for taking medicines, get a reminder of dialysis, and conduct easy communication between the doctors and patients. For this purpose, the study has supported the implementation and usage of Kidney Failure Care Application (KFCA). The software architecture of this application aids in the understanding of how the system would behave. The results have shown that the application has eased the communication with their respective doctors, and their diet was also monitored effectively. An average success rate of 80% was observed as a result of testing KFCA application.
{"title":"The Impact of Mobile Application Support on the Quality of Care of Kidney Patients","authors":"Arwa A. Jamjoom","doi":"10.5539/cis.v11n2p99","DOIUrl":"https://doi.org/10.5539/cis.v11n2p99","url":null,"abstract":"The adaptation of mobile application is supportive for the discharge patients in less amount of time. The use of mobile application enables physicians to detect the possible implications of treatment at an early stage. The study aims to provide a support and prevention application for kidney failure patients to monitor their diet, receive notifications for taking medicines, get a reminder of dialysis, and conduct easy communication between the doctors and patients. For this purpose, the study has supported the implementation and usage of Kidney Failure Care Application (KFCA). The software architecture of this application aids in the understanding of how the system would behave. The results have shown that the application has eased the communication with their respective doctors, and their diet was also monitored effectively. An average success rate of 80% was observed as a result of testing KFCA application.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"79 1","pages":"99-107"},"PeriodicalIF":0.0,"publicationDate":"2018-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80358164","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}
Governments around the world have invested significant sums of money on Information and Communication Technology (ICT) to improve the efficiency and effectiveness of services being provided to their citizens. However, they have not achieved the desired results because of the lack of interoperability between different government entities. Therefore, many governments have started shifting away from the original concept of e-Government towards a much more transformational approach that encompasses the entire relationship between different government departments and users of public services, which can be termed as transformational government (t-Government). This implementation of t-Government requires a high level of interoperability between government organisations. In this paper, a model is proposed to explore and investigates the key factors that influence interoperability required for the implementation of t-Government in Saudi Arabian context from four key areas, namely, organisational, technological, political and social using institutional theory as a lens. This model was developed comprising the effect of six main constructs: technological compatibility, organizational compatibility, governance readiness, citizen centricity and e-Government program on interoperability required for the implementation of t-Government. The model factors, relationships, and hypotheses stemmed from the literature on Information Sharing, Information Integration, G2G, interoperability and t-Government models.The results show that technological compatibility, organizational compatibility, and governance readiness have a positive impact on the interoperability required for the implementation of t-Government in this particular context. Unexpectedly, it indicates that citizen centricity has negative impact on the interoperability required for the implementation of t-Government. It also shows that there is a direct and positive impact from e-Government program (Yesser) to technological compatibility and governance readiness. Moreover, it shows that there is a direct and positive impact from citizen centricity to e-Government program (Yesser). Unexpectedly, the results indicate that e-Government program (Yesser) has no impact on the interoperability required for the implementation of t-Government. It also indicates that the e-Government program (Yesser) doesn’t affect organizational compatibility.This paper provides a model for creating interoperability between government organisations to help e-Government officials and policy makers to identify the key factors that can affect the interoperability level required for the implementation of t-Government, and examines how these issues could be treated in practice. It also provides a guideline to researchers with regard to the impact of these identified factors on interoperability required for t-Government implementation.
{"title":"Factors Influencing Interoperability Level Required for the Implementation of T-Government in Saudi Arabia","authors":"Sameer Alshetewi, Fahad Alturise, Faten Karim","doi":"10.5539/cis.v11n2p40","DOIUrl":"https://doi.org/10.5539/cis.v11n2p40","url":null,"abstract":"Governments around the world have invested significant sums of money on Information and Communication Technology (ICT) to improve the efficiency and effectiveness of services being provided to their citizens. However, they have not achieved the desired results because of the lack of interoperability between different government entities. Therefore, many governments have started shifting away from the original concept of e-Government towards a much more transformational approach that encompasses the entire relationship between different government departments and users of public services, which can be termed as transformational government (t-Government). This implementation of t-Government requires a high level of interoperability between government organisations. In this paper, a model is proposed to explore and investigates the key factors that influence interoperability required for the implementation of t-Government in Saudi Arabian context from four key areas, namely, organisational, technological, political and social using institutional theory as a lens. This model was developed comprising the effect of six main constructs: technological compatibility, organizational compatibility, governance readiness, citizen centricity and e-Government program on interoperability required for the implementation of t-Government. The model factors, relationships, and hypotheses stemmed from the literature on Information Sharing, Information Integration, G2G, interoperability and t-Government models.The results show that technological compatibility, organizational compatibility, and governance readiness have a positive impact on the interoperability required for the implementation of t-Government in this particular context. Unexpectedly, it indicates that citizen centricity has negative impact on the interoperability required for the implementation of t-Government. It also shows that there is a direct and positive impact from e-Government program (Yesser) to technological compatibility and governance readiness. Moreover, it shows that there is a direct and positive impact from citizen centricity to e-Government program (Yesser). Unexpectedly, the results indicate that e-Government program (Yesser) has no impact on the interoperability required for the implementation of t-Government. It also indicates that the e-Government program (Yesser) doesn’t affect organizational compatibility.This paper provides a model for creating interoperability between government organisations to help e-Government officials and policy makers to identify the key factors that can affect the interoperability level required for the implementation of t-Government, and examines how these issues could be treated in practice. It also provides a guideline to researchers with regard to the impact of these identified factors on interoperability required for t-Government implementation.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"50 1","pages":"40-63"},"PeriodicalIF":0.0,"publicationDate":"2018-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85699016","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}
Mobile Ad-hoc network (MANET) is the guiding technology of ubiquitous era and a cornerstone in the 4G communication architecture. MANET has limited resources and characterized with high mobility and frequent topology change. Routing in MANET should follow these constrains, otherwise, it can severely degrade the performance of MANET. Owing to Greedy routing (GFS) nature in MANET, a certain part of the MANET becomes congested before other parts. In such area the nodes have failed to forward packets in a timely manner or drop them, thus such nodes called Network Holes. This paper presents a simple and efficient enhanced GFS routing algorithm called Intelligent Fuzzy logic Greedy forwarding Scheme (IFGFS). IFGFS consider the De-congestion level of each mobile node as another selective metric besides distance. In order to validate our algorithm, we rely on a wide simulation experiments. The evaluation results showed the correctness of our new proposed algorithm the adaptive- congestion IFGFS which maximize the performance of the network.
{"title":"An Enhanced Queue Management Approach for Greedy Routing in MANETs","authors":"A. Habboush, Mahmoud AlShugran","doi":"10.5539/cis.v11n2p64","DOIUrl":"https://doi.org/10.5539/cis.v11n2p64","url":null,"abstract":"Mobile Ad-hoc network (MANET) is the guiding technology of ubiquitous era and a cornerstone in the 4G communication architecture. MANET has limited resources and characterized with high mobility and frequent topology change. Routing in MANET should follow these constrains, otherwise, it can severely degrade the performance of MANET. Owing to Greedy routing (GFS) nature in MANET, a certain part of the MANET becomes congested before other parts. In such area the nodes have failed to forward packets in a timely manner or drop them, thus such nodes called Network Holes. This paper presents a simple and efficient enhanced GFS routing algorithm called Intelligent Fuzzy logic Greedy forwarding Scheme (IFGFS). IFGFS consider the De-congestion level of each mobile node as another selective metric besides distance. In order to validate our algorithm, we rely on a wide simulation experiments. The evaluation results showed the correctness of our new proposed algorithm the adaptive- congestion IFGFS which maximize the performance of the network.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"136 1","pages":"64-75"},"PeriodicalIF":0.0,"publicationDate":"2018-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80412513","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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