Pub Date : 2023-12-05DOI: 10.1080/13614576.2023.2279760
Fang Wang
{"title":"Self-Archiving Adoption in Legal Scholarly Communication: A Literature Review","authors":"Fang Wang","doi":"10.1080/13614576.2023.2279760","DOIUrl":"https://doi.org/10.1080/13614576.2023.2279760","url":null,"abstract":"","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600931","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 : 2023-07-03DOI: 10.1080/13614576.2023.2279763
Salik Parveaz, Asif Khan
ABSTRACT With more than half of the humans on the planet becoming internet users, the amount of information created and accessed is enormous. The Internet has become the most popular medium and source for seeking information. The information-seeking behavior is exhibiting itself. In Kashmir, India – users, businesses, and institutions use Internet to access and disseminate information. But, information blockades seem to hamper the seeking and delivering of information. Information blockades have become an increasing occurrence in various countries worldwide. Most often imposed in regions that witness some form of instability, such as economic or political; information blockades disrupt the primary communication channels. However, studies exploring the relationship between information-seeking behavior and information blockades are scarce. This study is a novel call for focusing research endeavors on information-seeking behavior and its antithetical counterpart, i.e. Information blockade. This paper uses various statistical resources and employs an intensive content analysis method to analyze the literature and identify key themes and patterns of research undertaken on information-seeking behavior and information blockades, especially in Kashmir, India. For the current discourse, ostensibly, the two phenomena have an antithetical relationship and more studies need to be conducted to understand the dynamics of how these two phenomena co-exist.
{"title":"Information Seeking Behavior and Information Blockades: An Antithetical Relationship?","authors":"Salik Parveaz, Asif Khan","doi":"10.1080/13614576.2023.2279763","DOIUrl":"https://doi.org/10.1080/13614576.2023.2279763","url":null,"abstract":"ABSTRACT With more than half of the humans on the planet becoming internet users, the amount of information created and accessed is enormous. The Internet has become the most popular medium and source for seeking information. The information-seeking behavior is exhibiting itself. In Kashmir, India – users, businesses, and institutions use Internet to access and disseminate information. But, information blockades seem to hamper the seeking and delivering of information. Information blockades have become an increasing occurrence in various countries worldwide. Most often imposed in regions that witness some form of instability, such as economic or political; information blockades disrupt the primary communication channels. However, studies exploring the relationship between information-seeking behavior and information blockades are scarce. This study is a novel call for focusing research endeavors on information-seeking behavior and its antithetical counterpart, i.e. Information blockade. This paper uses various statistical resources and employs an intensive content analysis method to analyze the literature and identify key themes and patterns of research undertaken on information-seeking behavior and information blockades, especially in Kashmir, India. For the current discourse, ostensibly, the two phenomena have an antithetical relationship and more studies need to be conducted to understand the dynamics of how these two phenomena co-exist.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139363761","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}
{"title":"Digital reality in Compulsary Secondary Education: uses, purposes and profiles in social networks","authors":"Silvia Anzano-Oto, Sandra Vázquez-Toledo, Cecilia Latorre-Cosculluela","doi":"10.1080/13614576.2023.2219244","DOIUrl":"https://doi.org/10.1080/13614576.2023.2219244","url":null,"abstract":"","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47240515","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 : 2023-02-17DOI: 10.1080/13614576.2023.2175709
Welani Humphrey Msosa, W. Chawinga, G. Chipeta
{"title":"Analysis of a Records Management Systems at the Northern Region Water Board in Malawi","authors":"Welani Humphrey Msosa, W. Chawinga, G. Chipeta","doi":"10.1080/13614576.2023.2175709","DOIUrl":"https://doi.org/10.1080/13614576.2023.2175709","url":null,"abstract":"","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41812205","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 : 2022-07-03DOI: 10.1080/13614576.2022.2154691
Xueqiang Wang
ABSTRACT With the development of online education, the evaluation method of teaching quality has also received wide attention. This paper took the “Comprehensive English” course on the Massive Open Online Courses (MOOC) platform as an example, established teaching quality evaluation indicators, designed an evaluation method based on a back-propagation neural network (BPNN), optimized the parameters of the BPNN by the improved genetic algorithm (GA), and established an improved GA-BPNN model. The results found that the error between the output of the improved GA-BPNN model and the actual value was the smallest, between 0.01 and 0.04, showing that the model was stable; the mean absolute percentage error (MAPE) and root-mean-square error (RMSE) of the improved GA-BPNN model were 0.051 and 4.778, respectively, which were superior to BPNN and GA-BPNN models. The results verify the reliability of the improved GA-BPNN model. The model can be applied in practical teaching.
{"title":"Research on the Evaluation Methods of English Teaching Quality in the Context of Online Education","authors":"Xueqiang Wang","doi":"10.1080/13614576.2022.2154691","DOIUrl":"https://doi.org/10.1080/13614576.2022.2154691","url":null,"abstract":"ABSTRACT With the development of online education, the evaluation method of teaching quality has also received wide attention. This paper took the “Comprehensive English” course on the Massive Open Online Courses (MOOC) platform as an example, established teaching quality evaluation indicators, designed an evaluation method based on a back-propagation neural network (BPNN), optimized the parameters of the BPNN by the improved genetic algorithm (GA), and established an improved GA-BPNN model. The results found that the error between the output of the improved GA-BPNN model and the actual value was the smallest, between 0.01 and 0.04, showing that the model was stable; the mean absolute percentage error (MAPE) and root-mean-square error (RMSE) of the improved GA-BPNN model were 0.051 and 4.778, respectively, which were superior to BPNN and GA-BPNN models. The results verify the reliability of the improved GA-BPNN model. The model can be applied in practical teaching.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43479833","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 : 2022-07-03DOI: 10.1080/13614576.2022.2157858
Qixiang Wu, Lin He
ABSTRACT In the context of the information explosion, the improvement of people’s living standards has enabled computers and mobile phones to enter the homes of thousands of ordinary people. While promoting the popularization of the Internet, it has also enabled Weibo, a platform for expressing their opinions. Has been rapidly developed. With the continuous development of Weibo, the current mainstream Weibo platforms include Sina Weibo, Tencent Weibo, NetEase Weibo and Sohu Weibo. Based on the idea of multi-label propagation, this paper comprehensively considers node similarity and node life value and proposes the TCMLPA algorithm for hot word clustering, which can effectively improve the accuracy of public opinion recommendation.
{"title":"Research on Multi-Tag Propagation Clustering Method for Microblog Hot Topic Discovery","authors":"Qixiang Wu, Lin He","doi":"10.1080/13614576.2022.2157858","DOIUrl":"https://doi.org/10.1080/13614576.2022.2157858","url":null,"abstract":"ABSTRACT In the context of the information explosion, the improvement of people’s living standards has enabled computers and mobile phones to enter the homes of thousands of ordinary people. While promoting the popularization of the Internet, it has also enabled Weibo, a platform for expressing their opinions. Has been rapidly developed. With the continuous development of Weibo, the current mainstream Weibo platforms include Sina Weibo, Tencent Weibo, NetEase Weibo and Sohu Weibo. Based on the idea of multi-label propagation, this paper comprehensively considers node similarity and node life value and proposes the TCMLPA algorithm for hot word clustering, which can effectively improve the accuracy of public opinion recommendation.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46151051","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 : 2022-07-03DOI: 10.1080/13614576.2022.2155683
Zhiming Liu
ABSTRACT In order to test the improvement effect of the Massive Open Online Courses (MOOC)-based hybrid English teaching mode on the English listening, speaking, reading, and writing skills of students, this study divided 200 college students into two groups. One group was the control group which was taught by the traditional teaching mode, while the other group was the experimental group which was taught by the MOOC-based hybrid teaching mode. The listening, speaking, reading, and writing abilities of the two groups were tested before and after teaching. Moreover, a questionnaire survey was carried out after teaching test. The results showed that the listening, speaking, reading, and writing abilities of the experimental group what was taught by the MOOC-based hybrid English teaching mode was effectively improved. The results of the questionnaire survey also demonstrated that the MOOC-based hybrid English teaching mode was more effective in stimulating students’ interest in learning.
{"title":"A Study of the Effect of Hybrid English Teaching by Teachers Using MOOC Mode","authors":"Zhiming Liu","doi":"10.1080/13614576.2022.2155683","DOIUrl":"https://doi.org/10.1080/13614576.2022.2155683","url":null,"abstract":"ABSTRACT In order to test the improvement effect of the Massive Open Online Courses (MOOC)-based hybrid English teaching mode on the English listening, speaking, reading, and writing skills of students, this study divided 200 college students into two groups. One group was the control group which was taught by the traditional teaching mode, while the other group was the experimental group which was taught by the MOOC-based hybrid teaching mode. The listening, speaking, reading, and writing abilities of the two groups were tested before and after teaching. Moreover, a questionnaire survey was carried out after teaching test. The results showed that the listening, speaking, reading, and writing abilities of the experimental group what was taught by the MOOC-based hybrid English teaching mode was effectively improved. The results of the questionnaire survey also demonstrated that the MOOC-based hybrid English teaching mode was more effective in stimulating students’ interest in learning.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42977733","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 : 2022-07-03DOI: 10.1080/13614576.2022.2161265
K. Rebmann
Our December issue of New Review of Information Networking (NRIN) represents a time of transition to a new Editor (I’m happy to join NRIN) and a space for refocus on networks of information across the many contexts of library & information science, social media, and higher education. The first article, Sümeyye Akça’s Access beyond borders: Linked Open Data applications on cultural heritage, explores the role linked open data (LOD) applications play in the work of cultural memory institutions. With the goal of making collections more discoverable and searchable collections more visible and primed for web-based discovery, Akça draws attention to the many considerations of successfully deploying LOD technologies. Qixiang Wu and Lin He extend the theme of discovery to their work with topic clustering in microblogging, Research on Multi-tag Propagation Clustering Method for Microblog Hot Topic Discovery. With a multi-labelpropagation approach to recommendation algorithms, the team shares ideas for improving the process for connecting users with relevant topics in public opinion. In A study of the effect of hybrid English teaching by teachers using MOOC mode, Zhiming Liu explores hybrid English teaching practices in Massive Open Online Courses (MOOC) learning environments. With a focus on evaluating student learning and engagement, consideration is given to the impact of “learning networks design” to effective educational processes. Shifting the lens from student achievement to faculty performance, Xueqiang Wang’s Research on the evaluation methods of English teaching quality in the context of online education shares a back-propagation neural network (BPNN) method of evaluating online teaching quality. The automation model shared is one step on the road to the application of automation to challenges of quality in online teaching. From the articles in our December issue, it is evident that many researchers working communities connected to NRIN have taken steps toward confronting the challenges of scaling dimensions of discoverability, recommendation activities, and online education. Each of the articles address these issues as they navigate networks of cultural heritage, social media, and distributed learning. As always, if you are engaged in research exploring networks of information, NRIN would love to hear from you. Our Instructions for Authors outline the topics and process for submitting an article for review. If you have questions or wish to bounce ideas off the editor, please review our Aims and Scope and feel free to contact me at the e-mail address below. We particularly NEW REVIEW OF INFORMATION NETWORKING 2022, VOL. 27, NO. 2, 69–70 https://doi.org/10.1080/13614576.2022.2161265
我们12月份的《信息网络新评论》(New Review of Information Networking, NRIN)代表了新编辑(我很高兴加入NRIN)的过渡时期，也是重新关注图书馆与信息科学、社交媒体和高等教育等众多背景下的信息网络的空间。第一篇文章，s meyye aka的《跨越国界的访问:文化遗产的关联开放数据应用》，探讨了关联开放数据(LOD)应用在文化记忆机构工作中的作用。为了使集合更容易被发现，更容易被搜索，并为基于web的发现做好准备，aka提请注意成功部署LOD技术的许多考虑因素。吴其祥和何林将发现的主题扩展到他们的微博话题聚类研究中，《微博热点话题发现的多标签传播聚类方法研究》。通过推荐算法的多标签传播方法，该团队分享了改进将用户与公众舆论中的相关主题联系起来的过程的想法。刘志明在《MOOC模式下教师混合式英语教学效果研究》中，探讨了MOOC学习环境下的混合式英语教学实践。以评估学生的学习和参与为重点，考虑“学习网络设计”对有效教育过程的影响。王学强的《在线教育背景下英语教学质量评价方法研究》将视角从学生成绩转移到教师绩效，分享了一种基于反向传播神经网络(BPNN)的在线教学质量评价方法。共享的自动化模型是将自动化应用于网络教学质量挑战的一步。从我们12月份的文章中可以明显看出，许多与NRIN相关的研究人员已经采取措施应对可发现性、推荐活动和在线教育的扩展维度的挑战。每篇文章都在文化遗产、社交媒体和分布式学习的网络中解决了这些问题。和往常一样，如果你正在研究探索信息网络，NRIN很乐意听到你的声音。我们的作者说明概述了提交文章进行审查的主题和过程。如果您有问题或希望向编辑反馈意见，请查看我们的目标和范围，并随时通过以下电子邮件地址与我联系。《信息网络新评论2022》第27卷第2期。2,69 - 70 https://doi.org/10.1080/13614576.2022.2161265
{"title":"Introduction","authors":"K. Rebmann","doi":"10.1080/13614576.2022.2161265","DOIUrl":"https://doi.org/10.1080/13614576.2022.2161265","url":null,"abstract":"Our December issue of New Review of Information Networking (NRIN) represents a time of transition to a new Editor (I’m happy to join NRIN) and a space for refocus on networks of information across the many contexts of library & information science, social media, and higher education. The first article, Sümeyye Akça’s Access beyond borders: Linked Open Data applications on cultural heritage, explores the role linked open data (LOD) applications play in the work of cultural memory institutions. With the goal of making collections more discoverable and searchable collections more visible and primed for web-based discovery, Akça draws attention to the many considerations of successfully deploying LOD technologies. Qixiang Wu and Lin He extend the theme of discovery to their work with topic clustering in microblogging, Research on Multi-tag Propagation Clustering Method for Microblog Hot Topic Discovery. With a multi-labelpropagation approach to recommendation algorithms, the team shares ideas for improving the process for connecting users with relevant topics in public opinion. In A study of the effect of hybrid English teaching by teachers using MOOC mode, Zhiming Liu explores hybrid English teaching practices in Massive Open Online Courses (MOOC) learning environments. With a focus on evaluating student learning and engagement, consideration is given to the impact of “learning networks design” to effective educational processes. Shifting the lens from student achievement to faculty performance, Xueqiang Wang’s Research on the evaluation methods of English teaching quality in the context of online education shares a back-propagation neural network (BPNN) method of evaluating online teaching quality. The automation model shared is one step on the road to the application of automation to challenges of quality in online teaching. From the articles in our December issue, it is evident that many researchers working communities connected to NRIN have taken steps toward confronting the challenges of scaling dimensions of discoverability, recommendation activities, and online education. Each of the articles address these issues as they navigate networks of cultural heritage, social media, and distributed learning. As always, if you are engaged in research exploring networks of information, NRIN would love to hear from you. Our Instructions for Authors outline the topics and process for submitting an article for review. If you have questions or wish to bounce ideas off the editor, please review our Aims and Scope and feel free to contact me at the e-mail address below. We particularly NEW REVIEW OF INFORMATION NETWORKING 2022, VOL. 27, NO. 2, 69–70 https://doi.org/10.1080/13614576.2022.2161265","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42100393","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 : 2022-07-03DOI: 10.1080/13614576.2022.2145334
Sümeyye Akça
ABSTRACT The main mission of cultural memory institutions is to protect their collections and to provide access to a wider audience. World Wide Web technology offers different tools to fulfill this mission. Among a range of applications, the most effective is the search engines’ search for metadata of collections. However, search engines are not always able to see all sources caused by various problems. Linked data is a publishing technique that uses standard web technologies to associate data with other data and makes them available on the Web. In available literature, it is seen that many memory institutions use Linked Open Data as a solution to the search engine problem with the main motivation of making their collections more accessible. However, these applications are still not at proficient level. In this study, Linked Open Data studies in the available literature were scanned and a process map was created based on these applications. These applications, which especially require technical knowledge and infrastructure, can be confusing for memory institutions that have not yet participated in the process. In this context, it is clear that the process map created as a result of this study will be enlightening for memory institutions. The most important point on the map is that an extensive decision-making mechanism should be formed with the stakeholders before starting the process and the implementation plan should be developed in detail over the problems of existing projects.
{"title":"Access Beyond Borders: Linked Open Data Applications on Cultural Heritage","authors":"Sümeyye Akça","doi":"10.1080/13614576.2022.2145334","DOIUrl":"https://doi.org/10.1080/13614576.2022.2145334","url":null,"abstract":"ABSTRACT The main mission of cultural memory institutions is to protect their collections and to provide access to a wider audience. World Wide Web technology offers different tools to fulfill this mission. Among a range of applications, the most effective is the search engines’ search for metadata of collections. However, search engines are not always able to see all sources caused by various problems. Linked data is a publishing technique that uses standard web technologies to associate data with other data and makes them available on the Web. In available literature, it is seen that many memory institutions use Linked Open Data as a solution to the search engine problem with the main motivation of making their collections more accessible. However, these applications are still not at proficient level. In this study, Linked Open Data studies in the available literature were scanned and a process map was created based on these applications. These applications, which especially require technical knowledge and infrastructure, can be confusing for memory institutions that have not yet participated in the process. In this context, it is clear that the process map created as a result of this study will be enlightening for memory institutions. The most important point on the map is that an extensive decision-making mechanism should be formed with the stakeholders before starting the process and the implementation plan should be developed in detail over the problems of existing projects.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60362709","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 : 2022-01-02DOI: 10.1080/13614576.2022.2039748
Jatinder Singh, Anuj Kumar Gupta
ABSTRACT The wireless sensor network (WSN) plays a significant role in home automation, energy consumption monitoring, medical field, computational field, and so on. The major challenges associated with the WSN are time delay during the data transmission and network lifetime. Moreover, the cluster head selection (CHS) is also a challenging task. Hence, this research article introduces a novel multi-objective whale-based tunicate swarm algorithm (WTSA) for energy aware CHS process for multipath routing in WSN. The newly developed WTSA integrates the tunicate swarm algorithm (TSA) and whale optimization algorithm (WOA). The CHS procedure can be initiated by stimulating the sensor nodes in a network. The cluster heads (CHs) are selected by estimating these stimulated sensor nodes for delay, intercluster distance, node degree, energy and intracluster distance individually. Finally, the multipath routing is carried out through the proposed WTSA. The performance of the developed WTSA model is evaluated using metrics such as delay, number of nodes that are alive, throughput, and residual energy. The introduced WTSA attained better performance with respect to delay of 0.140 seconds for 100 nodes and throughput of 69,641 kbps for 100 nodes.
{"title":"Energy Aware Cluster Head Selection and Multipath Routing Using Whale-based Tunicate Swarm Algorithm (WTSA) for Wireless Sensor Network","authors":"Jatinder Singh, Anuj Kumar Gupta","doi":"10.1080/13614576.2022.2039748","DOIUrl":"https://doi.org/10.1080/13614576.2022.2039748","url":null,"abstract":"ABSTRACT The wireless sensor network (WSN) plays a significant role in home automation, energy consumption monitoring, medical field, computational field, and so on. The major challenges associated with the WSN are time delay during the data transmission and network lifetime. Moreover, the cluster head selection (CHS) is also a challenging task. Hence, this research article introduces a novel multi-objective whale-based tunicate swarm algorithm (WTSA) for energy aware CHS process for multipath routing in WSN. The newly developed WTSA integrates the tunicate swarm algorithm (TSA) and whale optimization algorithm (WOA). The CHS procedure can be initiated by stimulating the sensor nodes in a network. The cluster heads (CHs) are selected by estimating these stimulated sensor nodes for delay, intercluster distance, node degree, energy and intracluster distance individually. Finally, the multipath routing is carried out through the proposed WTSA. The performance of the developed WTSA model is evaluated using metrics such as delay, number of nodes that are alive, throughput, and residual energy. The introduced WTSA attained better performance with respect to delay of 0.140 seconds for 100 nodes and throughput of 69,641 kbps for 100 nodes.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44877475","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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