Koné Kigninman Désiré, Eya Dhib, N. Tabbane, O. Asseu
Cloud gaming is an innovative model that congregates video games. The user may have different Quality-of-Experience (QoE), which is a term used to measure a user’s level of satisfaction and enjoyment for a particular service. To guarantee general satisfaction for all users with limited cloud resources, it becomes a major issue in the cloud. This paper leverages a game theory in the cloud gaming model with resource optimization to discover optimal solutions to resolve resource allocation. The Rider-based harmony search algorithm (Rider-based HSA), which is the combination of Rider optimization algorithm (ROA) and Harmony search algorithm (HSA), is proposed for resource allocation to improve the cloud computing system’s efficiency. The fitness function is newly devised considering certain QoE parameters, which involves fairness index, Quantified experience of players (QE), and Mean Opinion Score (MOS). The proposed Rider-based HSA showed better performance compared to Potential game-based optimization algorithm, Proactive resource allocation algorithm, QoE-aware resource allocation algorithm, Distributed algorithm, and Yusen Li et al., with maximal fairness of 0.999, maximal MOS of 0.873, and maximal QE of 1.
{"title":"QoS and QoE aware multi objective resource allocation algorithm for cloud gaming","authors":"Koné Kigninman Désiré, Eya Dhib, N. Tabbane, O. Asseu","doi":"10.3233/JHS-210655","DOIUrl":"https://doi.org/10.3233/JHS-210655","url":null,"abstract":"Cloud gaming is an innovative model that congregates video games. The user may have different Quality-of-Experience (QoE), which is a term used to measure a user’s level of satisfaction and enjoyment for a particular service. To guarantee general satisfaction for all users with limited cloud resources, it becomes a major issue in the cloud. This paper leverages a game theory in the cloud gaming model with resource optimization to discover optimal solutions to resolve resource allocation. The Rider-based harmony search algorithm (Rider-based HSA), which is the combination of Rider optimization algorithm (ROA) and Harmony search algorithm (HSA), is proposed for resource allocation to improve the cloud computing system’s efficiency. The fitness function is newly devised considering certain QoE parameters, which involves fairness index, Quantified experience of players (QE), and Mean Opinion Score (MOS). The proposed Rider-based HSA showed better performance compared to Potential game-based optimization algorithm, Proactive resource allocation algorithm, QoE-aware resource allocation algorithm, Distributed algorithm, and Yusen Li et al., with maximal fairness of 0.999, maximal MOS of 0.873, and maximal QE of 1.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"5 1","pages":"121-138"},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77452572","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":"Energy-efficient routing sensing technology of wireless sensor networks based on Internet of Things","authors":"Xiaotao Ju","doi":"10.3233/JHS-210663","DOIUrl":"https://doi.org/10.3233/JHS-210663","url":null,"abstract":"","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"20 1","pages":"225-235"},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75771789","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}
Long Term Evolution Advanced (LTE-A) is a broadband wireless technology that supports variety of services with different data rate. In order to achieve this the evolved Node B (eNB) uses different features provided in the 3GPP standards. Features like Carrier Aggregation (CA), Multiple input and Multiple output (MIMO) and Hybrid Automatic Repeat Request (HARQ) help to increase the throughput and spectral efficiency. In this paper, a novel two-level calendar disc algorithm with HARQ is introduced at the eNB for effectively scheduling real time and non-real time traffic with different service types. The algorithm also uses a burst profile management module that analyzes the current user profile and notifies the scheduler about the need to change in profile based on power boosting. The Calendar Disc Scheduler (CDS) is improved by adding HARQ retransmission index as a parameter in calculating the metric weight. The scheduler was tested for both adaptive and non-adaptive methods of HARQ in both synchronous and asynchronous modes. The proposed improved CDS scheduler was simulated with LTESim simulator and compared with calendar disc algorithm without HARQ improvements. Results show that the proposed scheduling method provides increased performance in terms of goodput, delay and spectral efficiency.
LTE-A (Long Term Evolution Advanced)是一种支持多种不同数据速率业务的宽带无线技术。为了实现这一点，演进的节点B (eNB)使用3GPP标准中提供的不同功能。载波聚合(CA)、多输入多输出(MIMO)和混合自动重复请求(HARQ)等功能有助于提高吞吐量和频谱效率。为了有效地调度不同业务类型的实时和非实时交通，本文在eNB上提出了一种新的具有HARQ的两级日历盘算法。该算法还使用突发配置文件管理模块来分析当前用户配置文件，并根据功率提升通知调度程序需要更改配置文件。通过增加HARQ重传索引作为度量权重的参数，对日历磁盘调度程序(CDS)进行了改进。在同步和异步模式下，对调度程序进行了自适应和非自适应HARQ方法的测试。采用LTESim仿真器对改进后的CDS调度器进行了仿真，并与未进行HARQ改进的日历盘算法进行了比较。结果表明，该调度方法在性能、延迟和频谱效率方面都有较好的提高。
{"title":"Improved calendar disc scheduler for LTE advanced networks with HARQ","authors":"S. Shakir, A. Rajesh","doi":"10.3233/JHS-210656","DOIUrl":"https://doi.org/10.3233/JHS-210656","url":null,"abstract":"Long Term Evolution Advanced (LTE-A) is a broadband wireless technology that supports variety of services with different data rate. In order to achieve this the evolved Node B (eNB) uses different features provided in the 3GPP standards. Features like Carrier Aggregation (CA), Multiple input and Multiple output (MIMO) and Hybrid Automatic Repeat Request (HARQ) help to increase the throughput and spectral efficiency. In this paper, a novel two-level calendar disc algorithm with HARQ is introduced at the eNB for effectively scheduling real time and non-real time traffic with different service types. The algorithm also uses a burst profile management module that analyzes the current user profile and notifies the scheduler about the need to change in profile based on power boosting. The Calendar Disc Scheduler (CDS) is improved by adding HARQ retransmission index as a parameter in calculating the metric weight. The scheduler was tested for both adaptive and non-adaptive methods of HARQ in both synchronous and asynchronous modes. The proposed improved CDS scheduler was simulated with LTESim simulator and compared with calendar disc algorithm without HARQ improvements. Results show that the proposed scheduling method provides increased performance in terms of goodput, delay and spectral efficiency.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"63 1","pages":"139-149"},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84064605","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 development of society and the Internet and the advent of the cloud era, people began to pay attention to big data. The background of big data brings opportunities and challenges to the research of urban intelligent transportation networks. Urban transportation system is one of the important foundations for maintaining urban operation. The rapid development of the city has brought tremendous pressure on the traffic, and the congestion of urban traffic has restricted the healthy development of the city. Therefore, how to improve the urban transportation network model and improve transportation and transportation has become an urgent problem to be solved in urban development. Specific patterns hidden in large-scale crowd movements can be studied through transportation networks such as subway networks to explore urban subway transportation modes to support corresponding decisions in urban planning, transportation planning, public health, social networks, and so on. Research on urban subway traffic patterns is crucial. At the same time, a correct understanding of the behavior patterns and laws of residents’ travel is a key factor in solving urban traffic problems. Therefore, this paper takes the metro operation big data as the background, takes the passenger travel behavior in the urban subway transportation system as the research object, uses the behavior entropy to measure the human behavior, and actively explores the urban subway traffic mode based on the metro passenger behavior entropy in the context of big data. At the same time, the congestion degree of the subway station is analyzed, and the redundancy time optimization model of the subway train stop is established to improve the efficiency of the subway operation, so as to provide important and objective data and theoretical support for the traveler, planner and decision maker. Compared to the operation graph without redundant time, the total travel time optimization effect of passengers is 7.74%, and the waiting time optimization effect of passengers is 6.583%.
{"title":"Application research of urban subway traffic mode based on behavior entropy in the background of big data","authors":"Wanxin Hu, Feng Cheng","doi":"10.3233/JHS-210668","DOIUrl":"https://doi.org/10.3233/JHS-210668","url":null,"abstract":"With the development of society and the Internet and the advent of the cloud era, people began to pay attention to big data. The background of big data brings opportunities and challenges to the research of urban intelligent transportation networks. Urban transportation system is one of the important foundations for maintaining urban operation. The rapid development of the city has brought tremendous pressure on the traffic, and the congestion of urban traffic has restricted the healthy development of the city. Therefore, how to improve the urban transportation network model and improve transportation and transportation has become an urgent problem to be solved in urban development. Specific patterns hidden in large-scale crowd movements can be studied through transportation networks such as subway networks to explore urban subway transportation modes to support corresponding decisions in urban planning, transportation planning, public health, social networks, and so on. Research on urban subway traffic patterns is crucial. At the same time, a correct understanding of the behavior patterns and laws of residents’ travel is a key factor in solving urban traffic problems. Therefore, this paper takes the metro operation big data as the background, takes the passenger travel behavior in the urban subway transportation system as the research object, uses the behavior entropy to measure the human behavior, and actively explores the urban subway traffic mode based on the metro passenger behavior entropy in the context of big data. At the same time, the congestion degree of the subway station is analyzed, and the redundancy time optimization model of the subway train stop is established to improve the efficiency of the subway operation, so as to provide important and objective data and theoretical support for the traveler, planner and decision maker. Compared to the operation graph without redundant time, the total travel time optimization effect of passengers is 7.74%, and the waiting time optimization effect of passengers is 6.583%.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"284 1","pages":"291-304"},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80222452","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 order to extract value from data, data mining and data software technology are widely used in the industry. This study mainly discusses the precise mining of location data in communication field based on big data. Signaling preprocessing layer mainly obtains signaling message through acquisition module, filters FISU message in signaling message, judges abnormal message frame, and stamp it with time stamp, which provides effective data source for next processing. Signaling access layer mainly completes the function of signaling link access, mainly using high resistance jumper technology, time slot convergence technology, optical access technology and 155mdxc conversion technology to access 2 m link and 155 m link respectively. The signaling collection module must collect directly or via a link through DXC in order to reach the front-end data collection machine and access the signaling collection module of the front-end machine. The Signaling Collection Module also completes some of the message processing work. The presentation layer is the window of human-computer interaction of the whole system, which presents to users with friendly interface and perfect functions. The main goal of real-time big data analysis is to obtain signaling data sent by signaling acquisition system, and screen out the effective information in signaling data according to monitoring conditions, and then analyze the final real-time monitoring results. Geographic information module provides visual map control for the regional monitoring big data analysis module. The difficulty of system development can be reduced by using the existing WebGIS map toolkit. When the call from the Customs Bureau of Unicom in different cities is called into the mobile gateway Bureau, the call is rejected by the mobile customs bureau. The call time is 0 seconds, of which the interception success rate is up to 90% within 1 s. This research is of great significance for the better development and maintenance of signaling network and monitoring system.
{"title":"Accurate mining of location data in the communication field based on big data","authors":"G. Cai","doi":"10.3233/JHS-210665","DOIUrl":"https://doi.org/10.3233/JHS-210665","url":null,"abstract":"In order to extract value from data, data mining and data software technology are widely used in the industry. This study mainly discusses the precise mining of location data in communication field based on big data. Signaling preprocessing layer mainly obtains signaling message through acquisition module, filters FISU message in signaling message, judges abnormal message frame, and stamp it with time stamp, which provides effective data source for next processing. Signaling access layer mainly completes the function of signaling link access, mainly using high resistance jumper technology, time slot convergence technology, optical access technology and 155mdxc conversion technology to access 2 m link and 155 m link respectively. The signaling collection module must collect directly or via a link through DXC in order to reach the front-end data collection machine and access the signaling collection module of the front-end machine. The Signaling Collection Module also completes some of the message processing work. The presentation layer is the window of human-computer interaction of the whole system, which presents to users with friendly interface and perfect functions. The main goal of real-time big data analysis is to obtain signaling data sent by signaling acquisition system, and screen out the effective information in signaling data according to monitoring conditions, and then analyze the final real-time monitoring results. Geographic information module provides visual map control for the regional monitoring big data analysis module. The difficulty of system development can be reduced by using the existing WebGIS map toolkit. When the call from the Customs Bureau of Unicom in different cities is called into the mobile gateway Bureau, the call is rejected by the mobile customs bureau. The call time is 0 seconds, of which the interception success rate is up to 90% within 1 s. This research is of great significance for the better development and maintenance of signaling network and monitoring system.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"32 1","pages":"251-264"},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83949804","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 the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.
{"title":"Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network","authors":"Mona Prajapati, Jay M. Joshi","doi":"10.3233/jhs-200645","DOIUrl":"https://doi.org/10.3233/jhs-200645","url":null,"abstract":"In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"29 1","pages":"291-306"},"PeriodicalIF":0.9,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77542951","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}
VANET is mainly aimed at providing safety and security related information and traffic management. In future, VANET contributes to smart transportation system. Based on vehicle mobility, different routing protocols and traffic models were developed. In routing, trust between vehicles place an important role to forward safety related information. This paper aims at design of trust and delay based routing for hybrid communication in sparse VANET to avoid network attacks by malicious nodes. The proposed hybrid routing protocol works on the computation of trust in between vehicles and message reachable time (MRT). Route selection is done by considering the highest trust factor and minimum MRT. The performance effectiveness of the proposed scheme is evaluated by comparing with the Delay-aware and Backbone-based Geographic Routing for Urban VANETs (DBGR). The proposed scheme exhibits better performance in terms of packet delivery ratio, bandwidth utilization, end-to-end delay and control overheads.
{"title":"Hybrid routing protocol for VANETs: Delay and trust based approach","authors":"M. J. Sataraddi, M. Kakkasageri","doi":"10.3233/jhs-200644","DOIUrl":"https://doi.org/10.3233/jhs-200644","url":null,"abstract":"VANET is mainly aimed at providing safety and security related information and traffic management. In future, VANET contributes to smart transportation system. Based on vehicle mobility, different routing protocols and traffic models were developed. In routing, trust between vehicles place an important role to forward safety related information. This paper aims at design of trust and delay based routing for hybrid communication in sparse VANET to avoid network attacks by malicious nodes. The proposed hybrid routing protocol works on the computation of trust in between vehicles and message reachable time (MRT). Route selection is done by considering the highest trust factor and minimum MRT. The performance effectiveness of the proposed scheme is evaluated by comparing with the Delay-aware and Backbone-based Geographic Routing for Urban VANETs (DBGR). The proposed scheme exhibits better performance in terms of packet delivery ratio, bandwidth utilization, end-to-end delay and control overheads.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"1 1","pages":"275-290"},"PeriodicalIF":0.9,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77310851","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}
NS-3 has been one of the popular network simulator software for many years especially in research related to Mobile Adhoc Networks (MANETs). In NS-3, there is provision of several mobility models including Random Waypoint (RWP) mobility model and Steady State Random Waypoint (SSRWP) mobility model. RWP mobility model suffers from the transition phase related imperfection. SSRWP mobility model overcomes this limitation of RWP mobility by allowing the steady state initialization states of nodes in terms of position, speed and pause time of mobile nodes right from the beginning of the simulation. As SSRWP mobility model avoids any requirement of warm-up (cut-off) phase of RWP mobility model, it saves a significant amount of time of warm-up (cut-off) phase as well as establishes a high level of confidence in results obtained due to absence of any subjective guess. In the present work, RWP and SSRWP mobility models have been investigated using AODV routing protocol and it has been found that a way to mitigate the misleading effect of the transition phase of RWP mobility model is to have a sufficiently large simulation time which results, to a good extent, in convergence of performance of RWP mobility model toward that of SSRWP mobility model.
{"title":"Investigation of random waypoint and steady state random waypoint mobility models in NS-3 using AODV","authors":"Alok Singh, Saurabh Sharma, R. Srivastava","doi":"10.3233/jhs-200643","DOIUrl":"https://doi.org/10.3233/jhs-200643","url":null,"abstract":"NS-3 has been one of the popular network simulator software for many years especially in research related to Mobile Adhoc Networks (MANETs). In NS-3, there is provision of several mobility models including Random Waypoint (RWP) mobility model and Steady State Random Waypoint (SSRWP) mobility model. RWP mobility model suffers from the transition phase related imperfection. SSRWP mobility model overcomes this limitation of RWP mobility by allowing the steady state initialization states of nodes in terms of position, speed and pause time of mobile nodes right from the beginning of the simulation. As SSRWP mobility model avoids any requirement of warm-up (cut-off) phase of RWP mobility model, it saves a significant amount of time of warm-up (cut-off) phase as well as establishes a high level of confidence in results obtained due to absence of any subjective guess. In the present work, RWP and SSRWP mobility models have been investigated using AODV routing protocol and it has been found that a way to mitigate the misleading effect of the transition phase of RWP mobility model is to have a sufficiently large simulation time which results, to a good extent, in convergence of performance of RWP mobility model toward that of SSRWP mobility model.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"68 1","pages":"267-274"},"PeriodicalIF":0.9,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88250334","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 Network-on-Chip (NoC) has become a promising communication infrastructure for Multiprocessors-System-on-Chip (MPSoC). Reliability is a main concern in NoC and performance is degraded when NoC is susceptible to faults. A fault can be determined as a cause of deviation from the desired operation of the system (error). To deal with these reliability challenges, this work propose OFDIM (Online Fault Detection and Isolation Mechanism),a novel combined methodology to tolerate multiple permanent and transient faults. The new router architecture uses two modules to assure highly reliable and low-cost fault-tolerant strategy. In contrast to existing works, our architecture presents less area, more fault tolerance, and high reliability. The reliability comparison using Silicon Protection Factor (SPF), shows 22-time improvement and that additional circuitry incurs an area overhead of 27%, which is better than state-of-the-art reliable router architectures. Also, the results show that the throughput decreases only by 5.19% and minor increase in average latency 2.40% while providing high reliability.
{"title":"A new architecture for online error detection and isolation in network on chip","authors":"Chakib Nehnouh","doi":"10.3233/jhs-200646","DOIUrl":"https://doi.org/10.3233/jhs-200646","url":null,"abstract":"The Network-on-Chip (NoC) has become a promising communication infrastructure for Multiprocessors-System-on-Chip (MPSoC). Reliability is a main concern in NoC and performance is degraded when NoC is susceptible to faults. A fault can be determined as a cause of deviation from the desired operation of the system (error). To deal with these reliability challenges, this work propose OFDIM (Online Fault Detection and Isolation Mechanism),a novel combined methodology to tolerate multiple permanent and transient faults. The new router architecture uses two modules to assure highly reliable and low-cost fault-tolerant strategy. In contrast to existing works, our architecture presents less area, more fault tolerance, and high reliability. The reliability comparison using Silicon Protection Factor (SPF), shows 22-time improvement and that additional circuitry incurs an area overhead of 27%, which is better than state-of-the-art reliable router architectures. Also, the results show that the throughput decreases only by 5.19% and minor increase in average latency 2.40% while providing high reliability.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"31 1","pages":"307-323"},"PeriodicalIF":0.9,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81212501","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}
False data detection, intrusion detection and coverage rate are major challenges in wireless sensor networks (WSN). Scheduling in media access control (MAC) using gateway and relay nodes solve some of the problems. In this paper, we carried out a brief survey on scheduling, delay aware MAC, cooperative communications in MAC, and adaptive listening to keep controlling the energy in sensors. In addition, multichannel MAC and various routing strategy techniques for WSN are discussed. Firefly algorithm for dynamic scheduling pipelined scheduling for linear sensor networks gives better throughput and latency. Heuristic configuration solves the overhearing problem, as node power-based MAC controls power of each node. Based on WSN applications and the performance metrics concentrated, various techniques for MAC are discussed throughout in this paper.
{"title":"Scheduling and adaptive listening approaches in MAC for WSN applications: A survey","authors":"S. Radha, G. Bala, E. G. Kanaga, P. Nagabushanam","doi":"10.3233/jhs-200647","DOIUrl":"https://doi.org/10.3233/jhs-200647","url":null,"abstract":"False data detection, intrusion detection and coverage rate are major challenges in wireless sensor networks (WSN). Scheduling in media access control (MAC) using gateway and relay nodes solve some of the problems. In this paper, we carried out a brief survey on scheduling, delay aware MAC, cooperative communications in MAC, and adaptive listening to keep controlling the energy in sensors. In addition, multichannel MAC and various routing strategy techniques for WSN are discussed. Firefly algorithm for dynamic scheduling pipelined scheduling for linear sensor networks gives better throughput and latency. Heuristic configuration solves the overhearing problem, as node power-based MAC controls power of each node. Based on WSN applications and the performance metrics concentrated, various techniques for MAC are discussed throughout in this paper.","PeriodicalId":54809,"journal":{"name":"Journal of High Speed Networks","volume":"23 1","pages":"325-338"},"PeriodicalIF":0.9,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82259658","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：