Pub Date : 2017-10-01DOI: 10.1109/UEMCON.2017.8249070
Aaron E. Cohen
This paper develops the analytical models necessary to compare the Quality of Service (QoS) when using different lossy network congestion control techniques. The first route model shows that the frequency (FRQ) drop method is superior to the random (RND) drop method when the perceived difference in QoS (ΔQoS) from the full transmission mode to the lower transmission mode is small and that the ratio (x) of number of shrunk packets to 1 dropped packet is low. Afterwards, this model is extended to show the QoS when packet loss concealment is used. Later, this model is extended to show the QoS when buffering is allowed. Final results show that if the constraint (QoSWB — AVGQoSPLC > x x (QoSWB — QoSNB)) is met then the RND method achieves worse QoS than the FRQ method. This result holds with and without buffering.
本文建立了在使用不同的有损网络拥塞控制技术时比较服务质量(QoS)所需的分析模型。第一个路由模型表明，当感知到的QoS (ΔQoS)从全传输模式到低传输模式的差异较小，压缩包数与丢弃包数之比(x)较低时，频率(FRQ)丢弃法优于随机(RND)丢弃法。然后，将该模型扩展到使用丢包隐藏时的QoS。随后，对该模型进行了扩展，以显示允许缓冲时的QoS。最终结果表明，如果满足约束条件(qswb - AVGQoSPLC > x x (qswb - qsnb))，则RND方法的QoS较FRQ方法差。不管有没有缓冲，这个结果都成立。
{"title":"Analytical analysis of QoS for lossy network congestion control","authors":"Aaron E. Cohen","doi":"10.1109/UEMCON.2017.8249070","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249070","url":null,"abstract":"This paper develops the analytical models necessary to compare the Quality of Service (QoS) when using different lossy network congestion control techniques. The first route model shows that the frequency (FRQ) drop method is superior to the random (RND) drop method when the perceived difference in QoS (ΔQoS) from the full transmission mode to the lower transmission mode is small and that the ratio (x) of number of shrunk packets to 1 dropped packet is low. Afterwards, this model is extended to show the QoS when packet loss concealment is used. Later, this model is extended to show the QoS when buffering is allowed. Final results show that if the constraint (QoSWB — AVGQoSPLC > x x (QoSWB — QoSNB)) is met then the RND method achieves worse QoS than the FRQ method. This result holds with and without buffering.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"717 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337272","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249065
J. Livingston, Robert Steele
The Internet of Things is becoming an integral part of today's solutions to critical issues. In this paper, we consider applications to the field of Zika outbreaks. Current solutions are limited to preventative measures such as spraying pesticides, destruction of mosquito breeding grounds, and avoiding the outdoors in the evening. However, these current methods have significant limitations because the geographic areas of Zika-carrying mosquito infestation are not known in fine-grained detail and testing for these locations is difficult. However, through crowdsensing techniques there are ways to better identify and narrow location determination. Devices such as smartphones are very common among the majority of citizens, and these devices can collect a plethora of information. This paper will focus on the use of crowdsensing techniques coupled with medical professional's diagnosis of Zika virus to impute possible vector data to provide more fine-grained and sophisticated location determination for Zika outbreaks.
{"title":"A crowdsensing algorithm for imputing Zika outbreak location data","authors":"J. Livingston, Robert Steele","doi":"10.1109/UEMCON.2017.8249065","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249065","url":null,"abstract":"The Internet of Things is becoming an integral part of today's solutions to critical issues. In this paper, we consider applications to the field of Zika outbreaks. Current solutions are limited to preventative measures such as spraying pesticides, destruction of mosquito breeding grounds, and avoiding the outdoors in the evening. However, these current methods have significant limitations because the geographic areas of Zika-carrying mosquito infestation are not known in fine-grained detail and testing for these locations is difficult. However, through crowdsensing techniques there are ways to better identify and narrow location determination. Devices such as smartphones are very common among the majority of citizens, and these devices can collect a plethora of information. This paper will focus on the use of crowdsensing techniques coupled with medical professional's diagnosis of Zika virus to impute possible vector data to provide more fine-grained and sophisticated location determination for Zika outbreaks.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126717645","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249074
W. Contreras, S. Ziavras
Structural health monitoring (SHM) concerns the development of strategies to assess the condition of instrumented engineering structures. Most SHM techniques involve some form of physics-based modeling, which can be difficult and costly. We propose an efficient vibration-collecting method using wireless sensor networks (WSNs) that minimizes the need to perform modeling, making the SHM system easy to deploy on any structure with little to no modification. In our algorithm, we employ a two-layer stacking technique, similar to protocol stacking in networking. At the core of the algorithm is a frequency domain pattern matching technique applied to observed vibrations that is executed by each sensor node in the bottom layer of the algorithm. An energy management scheme for attaining the desired lifetime of the WSN is also proposed. The scheme is based upon a novel energy management circuit that decreases current for inactive sensor nodes, such to increase the lifetime of the nodes up to 90-fold. Upper bounds on system lifetime are determined experimentally using sensor nodes based upon the Zolertia Z1 mote. Finally, the pattern matching technique is validated on an experimental structure.
{"title":"Efficient structural health monitoring with wireless sensor networks using a vibration-based frequency domain pattern matching technique","authors":"W. Contreras, S. Ziavras","doi":"10.1109/UEMCON.2017.8249074","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249074","url":null,"abstract":"Structural health monitoring (SHM) concerns the development of strategies to assess the condition of instrumented engineering structures. Most SHM techniques involve some form of physics-based modeling, which can be difficult and costly. We propose an efficient vibration-collecting method using wireless sensor networks (WSNs) that minimizes the need to perform modeling, making the SHM system easy to deploy on any structure with little to no modification. In our algorithm, we employ a two-layer stacking technique, similar to protocol stacking in networking. At the core of the algorithm is a frequency domain pattern matching technique applied to observed vibrations that is executed by each sensor node in the bottom layer of the algorithm. An energy management scheme for attaining the desired lifetime of the WSN is also proposed. The scheme is based upon a novel energy management circuit that decreases current for inactive sensor nodes, such to increase the lifetime of the nodes up to 90-fold. Upper bounds on system lifetime are determined experimentally using sensor nodes based upon the Zolertia Z1 mote. Finally, the pattern matching technique is validated on an experimental structure.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126725345","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249079
Manish Kumar, Eman Abdelfattah, Johnathon Holbrooks, Alexander Pérez
This paper discusses the performance of an office network during a Denial of Service (DoS) attack. A group of client workstations access wirelessly a WLAN server. The purpose is to simulate heavy database traffic under normal work conditions. For the DoS experiment, Global Wireless LAN Delay, Global DB Query Traffic Sent, Global DB Query Traffic Received, Node IP Traffic Dropped, Point-to-Point Queuing Delay, Point-to-Point Throughput, and Point-to-Point Utilization are measured in the presence of a jammer which utilizes frequency sweeping. A comparison of the performance of the network under the normal conditions and DoS scenario is analyzed. The results demonstrate the severe impact of a DoS attack on the network's performance.
{"title":"Analyzing the effect of DoS attacks on network performance","authors":"Manish Kumar, Eman Abdelfattah, Johnathon Holbrooks, Alexander Pérez","doi":"10.1109/UEMCON.2017.8249079","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249079","url":null,"abstract":"This paper discusses the performance of an office network during a Denial of Service (DoS) attack. A group of client workstations access wirelessly a WLAN server. The purpose is to simulate heavy database traffic under normal work conditions. For the DoS experiment, Global Wireless LAN Delay, Global DB Query Traffic Sent, Global DB Query Traffic Received, Node IP Traffic Dropped, Point-to-Point Queuing Delay, Point-to-Point Throughput, and Point-to-Point Utilization are measured in the presence of a jammer which utilizes frequency sweeping. A comparison of the performance of the network under the normal conditions and DoS scenario is analyzed. The results demonstrate the severe impact of a DoS attack on the network's performance.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126073668","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249015
Xianping Wang, Hao Qiu, Fei Xie
Internet of Things (IoT) can be viewed from three system perspectives. It is called IoT when it is viewed from the inter-networking of things, Cloud of things from computing on the data gathered by things and Web of Things (WoT) from representation of things. This paper surveyed industrial readiness for IoT from these three perspectives. For each perspective, related companies and their solutions are studied. Through this survey, we find that IoT begins its permeation into our daily lives, from consumer to industry, from academia to government, from counties to the globe with great impetus. Almost all major semiconductor companies and software companies provide their solutions to IoT.
{"title":"A survey on the industrial readiness for Internet of Things","authors":"Xianping Wang, Hao Qiu, Fei Xie","doi":"10.1109/UEMCON.2017.8249015","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249015","url":null,"abstract":"Internet of Things (IoT) can be viewed from three system perspectives. It is called IoT when it is viewed from the inter-networking of things, Cloud of things from computing on the data gathered by things and Web of Things (WoT) from representation of things. This paper surveyed industrial readiness for IoT from these three perspectives. For each perspective, related companies and their solutions are studied. Through this survey, we find that IoT begins its permeation into our daily lives, from consumer to industry, from academia to government, from counties to the globe with great impetus. Almost all major semiconductor companies and software companies provide their solutions to IoT.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115294878","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248975
Abhishek Verma, Hussam Qassim, David Feinzimer
Deep convolutional neural network models have achieved great success in the recent years. However, the optimization of size and the time needed to train a deep network is a research area that needs much improvement. In this paper, we address the issue of speed and size by proposing a compressed convolutional neural network model namely Residual Squeeze CNDS. Proposed models compresses the earlier very successful Residual-CNDS network and further improves on following aspects: (1) small model size, (2) faster speed, (3) uses residual learning for faster convergence, better generalization, and solves the issue of degradation, (4) matches the recognition accuracy of the non-compressed model on the very large-scale grand challenge MIT Places 365-Standard scene dataset. In comparison to Residual-CNDS the proposed model is 87.64% smaller in size and 13.33% faster in the training time. This supports our claim that the proposed model inherits the best aspects of Residual-CNDS model and further improves upon it. Moreover, we present our attempt at a more disciplined approach to searching the design space for novel CNN architectures. In comparison to SQUEEZENET our proposed framework can be more easily adapted and fully integrated with the residual learning for compressing various other contemporary deep learning convolutional neural network models.
近年来，深度卷积神经网络模型取得了巨大的成功。然而，深度网络的大小和训练时间的优化是一个需要改进的研究领域。在本文中，我们通过提出一个压缩卷积神经网络模型即残余挤压CNDS来解决速度和大小问题。本文提出的模型对之前非常成功的残差- cnds网络进行了压缩，并在以下方面进行了进一步改进:(1)模型尺寸小;(2)速度更快;(3)利用残差学习实现更快的收敛、更好的一般化，解决了退化问题;(4)在非常大规模的grand challenge MIT Places 365-Standard场景数据集上匹配非压缩模型的识别精度。与残差- cnds模型相比，该模型的大小缩小了87.64%，训练时间加快了13.33%。这支持了我们的观点，即所提出的模型继承了残差- cnds模型的最佳方面，并在此基础上进一步改进。此外，我们提出了一种更有纪律的方法来寻找新颖的CNN架构的设计空间。与SQUEEZENET相比，我们提出的框架可以更容易地适应并与残差学习完全集成，用于压缩各种其他当代深度学习卷积神经网络模型。
{"title":"Residual squeeze CNDS deep learning CNN model for very large scale places image recognition","authors":"Abhishek Verma, Hussam Qassim, David Feinzimer","doi":"10.1109/UEMCON.2017.8248975","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248975","url":null,"abstract":"Deep convolutional neural network models have achieved great success in the recent years. However, the optimization of size and the time needed to train a deep network is a research area that needs much improvement. In this paper, we address the issue of speed and size by proposing a compressed convolutional neural network model namely Residual Squeeze CNDS. Proposed models compresses the earlier very successful Residual-CNDS network and further improves on following aspects: (1) small model size, (2) faster speed, (3) uses residual learning for faster convergence, better generalization, and solves the issue of degradation, (4) matches the recognition accuracy of the non-compressed model on the very large-scale grand challenge MIT Places 365-Standard scene dataset. In comparison to Residual-CNDS the proposed model is 87.64% smaller in size and 13.33% faster in the training time. This supports our claim that the proposed model inherits the best aspects of Residual-CNDS model and further improves upon it. Moreover, we present our attempt at a more disciplined approach to searching the design space for novel CNN architectures. In comparison to SQUEEZENET our proposed framework can be more easily adapted and fully integrated with the residual learning for compressing various other contemporary deep learning convolutional neural network models.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122409637","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249057
Er. Navpreet Singh
Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement procedure is considered for the successful route selection in density grid-based clustering. This paper proposes a two new approaches i.e. artificial bee colony is an swarm based optimization technique for energy efficient routing algorithm and the compressive sensing is also used to increase the energy rate or performance. The proposed methodology has shown quite significant improvement over available ones.
{"title":"Evaluating the performance of density grid-based clustering using ABC technique for efficient routing in WSNs","authors":"Er. Navpreet Singh","doi":"10.1109/UEMCON.2017.8249057","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249057","url":null,"abstract":"Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement procedure is considered for the successful route selection in density grid-based clustering. This paper proposes a two new approaches i.e. artificial bee colony is an swarm based optimization technique for energy efficient routing algorithm and the compressive sensing is also used to increase the energy rate or performance. The proposed methodology has shown quite significant improvement over available ones.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374341","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248971
Kavyashree Puttananjegowda, Majdi M. Ababneh, Sylvia W. Thomas
This paper presents, a low-noise, low-power transimpedance amplifier (TIA) for amperiometric based blood glucose monitoring system for wearable devices. The proposed cascode common source multi-stage transimpedance amplifier circuit is implemented in a 180nm CMOS process. The TIA shows a transimpedance gain of 145MΩ and input referred current noise is 27.4fA/√Hz at 50kHz. When the input current is 5nA and the total power consumption is 110uW from 1V supply.
{"title":"The design of ultra low noise CMOS transimpedance amplifier for biosensing applications","authors":"Kavyashree Puttananjegowda, Majdi M. Ababneh, Sylvia W. Thomas","doi":"10.1109/UEMCON.2017.8248971","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248971","url":null,"abstract":"This paper presents, a low-noise, low-power transimpedance amplifier (TIA) for amperiometric based blood glucose monitoring system for wearable devices. The proposed cascode common source multi-stage transimpedance amplifier circuit is implemented in a 180nm CMOS process. The TIA shows a transimpedance gain of 145MΩ and input referred current noise is 27.4fA/√Hz at 50kHz. When the input current is 5nA and the total power consumption is 110uW from 1V supply.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131605652","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249067
B. Sirkeci-Mergen, M. Roy
This work analyzes cooperative networks in which a single source message is retransmitted by multiple levels of amplify-and-forward (AF) relays that are equipped with single antennas. The effects of noise and signal accumulation and multihop diversity (combining signals from multiple previously transmitted levels) on the network performance are studied. This work quantifies the advantages of multi-level networks over the classical multihop networks, which has degrading performance as the size of the network increases when relays use the simple AF strategy.
{"title":"Performance of multi-level amplify-and-forward relays with multihop diversity","authors":"B. Sirkeci-Mergen, M. Roy","doi":"10.1109/UEMCON.2017.8249067","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249067","url":null,"abstract":"This work analyzes cooperative networks in which a single source message is retransmitted by multiple levels of amplify-and-forward (AF) relays that are equipped with single antennas. The effects of noise and signal accumulation and multihop diversity (combining signals from multiple previously transmitted levels) on the network performance are studied. This work quantifies the advantages of multi-level networks over the classical multihop networks, which has degrading performance as the size of the network increases when relays use the simple AF strategy.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770728","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249021
Khaled Slhoub, Marco M. Carvalho, Walter P. Bond
The lack of process standardization in the development of multi-agent systems (MAS) causes a great deal of difficulty for developers in addressing major development phases, such as requirements analysis. Instead, such MAS infrastructure is generally attended to in an ad-hoc fashion and important aspects of requirements analysis are often neglected altogether. The IEEE Std 830 model plays a key role in standardizing requirement specifications (SRS) for complex development of conventional software. Knowing that MAS are a natural and logical evolution of the conventional software development paradigms, we believe that the MAS requirement phase can thoroughly benefit from applying such a specific standard model in such a way that results in a high-quality and more accepted SRS artifact. Our purpose in this paper is to utilize and extend the IEEE Std 830-2009 model to specify requirements of multi-agent systems.
{"title":"Recommended practices for the specification of multi-agent systems requirements","authors":"Khaled Slhoub, Marco M. Carvalho, Walter P. Bond","doi":"10.1109/UEMCON.2017.8249021","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249021","url":null,"abstract":"The lack of process standardization in the development of multi-agent systems (MAS) causes a great deal of difficulty for developers in addressing major development phases, such as requirements analysis. Instead, such MAS infrastructure is generally attended to in an ad-hoc fashion and important aspects of requirements analysis are often neglected altogether. The IEEE Std 830 model plays a key role in standardizing requirement specifications (SRS) for complex development of conventional software. Knowing that MAS are a natural and logical evolution of the conventional software development paradigms, we believe that the MAS requirement phase can thoroughly benefit from applying such a specific standard model in such a way that results in a high-quality and more accepted SRS artifact. Our purpose in this paper is to utilize and extend the IEEE Std 830-2009 model to specify requirements of multi-agent systems.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123333155","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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