Abstract:Fog computing is a promising architecture to provide economic and low latency data services for Internet of things (IoT) network systems. In fog computing, multiple mobile devices (MDs) with redundant resources at the edge of the network, commonly referred to as the fog nodes, can be available to help the IoT MD to execute its tasks. In this paper, we design a fog computing framework to enable cooperative processing for delay-sensitive IoT tasks on resource-abundant fog nodes. Based on this framework, multiple fog nodes can cooperate in a fog group and simultaneously process the IoT tasks, so that the computational efficiency of fog networks can be further improved and the resources of fog nodes can be fully utilized. We formulate the cooperative task processing problem as a Winner Determination Problem (WDP) with the objective of maximizing the completion delay reduction of all IoT MDs and propose a cooperative greedy computing algorithm with a low complexity as our solution. Numerical studies confirm that the proposed scheme can obtain a better performance in task completion delay minimization compared with the reference schemes.

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	1. Cooperative Task Processing in Fog Computing Networks for Internet of Things
	LIU Xu,LIU Xu,XIE Ren-Chao
	Electrics, Communication and Autocontrol Technology 02 February 2021
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (873K B)

	Abstract:Fog computing is a promising architecture to provide economic and low latency data services for Internet of things (IoT) network systems. In fog computing, multiple mobile devices (MDs) with redundant resources at the edge of the network, commonly referred to as the fog nodes, can be available to help the IoT MD to execute its tasks. In this paper, we design a fog computing framework to enable cooperative processing for delay-sensitive IoT tasks on resource-abundant fog nodes. Based on this framework, multiple fog nodes can cooperate in a fog group and simultaneously process the IoT tasks, so that the computational efficiency of fog networks can be further improved and the resources of fog nodes can be fully utilized. We formulate the cooperative task processing problem as a Winner Determination Problem (WDP) with the objective of maximizing the completion delay reduction of all IoT MDs and propose a cooperative greedy computing algorithm with a low complexity as our solution. Numerical studies confirm that the proposed scheme can obtain a better performance in task completion delay minimization compared with the reference schemes.
	TO cite this article:LIU Xu,LIU Xu,XIE Ren-Chao. Cooperative Task Processing in Fog Computing Networks for Internet of Things[OL].[ 2 February 2021] http://en.paper.edu.cn/en_releasepaper/content/4753566


	2. A Modified Sub-cluster Head Stable Clustering Algorithm for Highly Dynamic Unmanned Aerial Vehicles
	Guo Yuchen,Zhang Xu
	Electrics, Communication and Autocontrol Technology 08 March 2020
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	Abstract:In the UAV network, high-speed movement of nodes will cause frequent network topology updates, making network management more complex and increasing network maintenance overhead. Clustering can increase network capacity, achieve reuse of space resources, and reduce energy consumption overhead. The existing clustering algorithms are proposed for fixed wireless sensor network, mobile ad hoc network with limited mobility or special application such as vehicle network. It is necessary to continue doing the research that could cope with the rapid changes of the network extension caused by the high-speed movement for the UAV.This paper proposes a modified sub-cluster head stable clustering algorithm (SHSC) for highly dynamic unmanned aerial vehicles, which introduces an improved maximum speed similarity parameter when electing a cluster head, so that nodes with similar motion trends are formed the same cluster. The sub-cluster head node is added in each cluster, and becomes a new cluster head immediately when the original cluster head fails or the energy is too low. It is benefit for enhancing the stability of the network. By simulating verification, SHSC is 27% higher than weighted clustering algorithm (WCA) in terms of energy consumption, 22% higher than improved weighted clustering algorithm (IWCA), and 5% higher than optimized stable clustering algorithm (OSCA). In terms of network stability, it is 26% higher than WCA, 22% higher than IWCA, and 19% higher than OSCA.
	TO cite this article:Guo Yuchen,Zhang Xu. A Modified Sub-cluster Head Stable Clustering Algorithm for Highly Dynamic Unmanned Aerial Vehicles[OL].[ 8 March 2020] http://en.paper.edu.cn/en_releasepaper/content/4751103

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	3. Accurate ZigBee Wireless Sensor Indoor Localization System Based on PSO Algorithm
	ZHENG Ming,LIU Ming-Xin,LI Bei-Ming,XUE Wei
	Electrics, Communication and Autocontrol Technology 06 September 2019
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	Abstract:This paper targets to estimate the distance between the blind node whose position is ambiguous in wireless sensor network and the anchor node whose position is known.And then,estimate location of the blind node according to the geometric relationship among nodes in indoor environments. an approach was used to estimate such a distance. The channel propagation model in indoor environments accord with log-normal shadowing model(LNSM),approach used PSO(Particle Swarm Optimization)) algorithm to improve LNSM model and estimates the distance according to improved LNSM and received signal strength indicator(RSSI).Then constructed a equation Based on the geometric relationship among nodes,solved the equation used Swarm intelligence algorithm,got best estimate of blind node' position. the approach achieved a mean absolute error less than 0.5m in a 10×10 Square test site.
	TO cite this article:ZHENG Ming,LIU Ming-Xin,LI Bei-Ming, et al. Accurate ZigBee Wireless Sensor Indoor Localization System Based on PSO Algorithm[OL].[ 6 September 2019] http://en.paper.edu.cn/en_releasepaper/content/4749584


	4. On Fixed-point Implementation of Log-MPA for SCMA Signals
	Jiaqi Liu, Gang Wu, Shaoqian Li,Olav Tirkkonen
	Electrics, Communication and Autocontrol Technology 03 December 2015
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	Abstract:In this paper, we present a design framework for fixed-point implementation of the log-domainmessage passing algorithm (Log-MPA) for sparse code multiple access (SCMA) signals,and make a detailed comparative analysis on the complexity of Log-MPA and traditional MPA.We also investigate the impact of the number of massage-passing iterations within the Log-MPAdecoding process.Simulation results demonstrate that Log-MPA achieves favorable performance withlow-complexity hardware implementation as compared to MPA.
	TO cite this article:Jiaqi Liu, Gang Wu, Shaoqian Li, et al. On Fixed-point Implementation of Log-MPA for SCMA Signals[OL].[ 3 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4668407


	5. A Novel Satellite Traffic Flow Prediction Scheme Based on Wavelet Neural Network and Genetic Algorithm
	Li Ning,Wang Pengfei,Han Ke,Deng Zhongliang
	Electrics, Communication and Autocontrol Technology 25 November 2015
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	Abstract:Satellite communications network is a kind of delay tolerant network with characters of intermittent connection, long packet queuing time, complex and uncertain delay time, etc. The call congestion rate of new business is higher in delay tolerant network which leads to the reduction of communication quality and the high error code rate. The existing traffic flow prediction scheme is hard to meet new business and individual requirements. It becomes more and more important to study the most effective traffic prediction scheme so as to increase the satellite bandwidth utilization. In this paper, BP neural network (BPNN) has been used as regression model, and the Genetic Algorithm (GA) has been used to search the weights matrix and thresholds of BP neural network. Then the satellite traffic flow prediction scheme based on wavelet neural network and genetic algorithm (WNNGA) was put forward. Simulation results with the real traffic traces show that the proposed method can more accurately predict the future of the satellite network traffic and decrease the processing time compared with previous model method.?????
	TO cite this article:Li Ning,Wang Pengfei,Han Ke, et al. A Novel Satellite Traffic Flow Prediction Scheme Based on Wavelet Neural Network and Genetic Algorithm[OL].[25 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4664049


	6. Optimizing the Combined Input and Crosspoint Queued (CICQ) switch: A new flow control mechanism
	Zheng Guangjie,Tang Bihua,Yuan Dongming,Hu Hefei,Ran Jing
	Electrics, Communication and Autocontrol Technology 17 December 2013
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	Abstract:To date, a combined input and crosspoint queued (CICQ) switch has obtained increasing significant attention for its scalability and simple implementation on FPGA. As the promising next generation high speed packet switch, it is able to address the complex scheduling and high memory access speed problems which exist in other types of switches. However, when distributing packet buffers across crosspoints, it becomes difficult to balance the workload of different buffers, resulting in low memory space efficiency. In this article, we propose a new flow control mechanism to enhance the memory space efficiency, and carry out the performance comparison between such optimized CICQ switch and the one without adopting this mechanism
	TO cite this article:Zheng Guangjie,Tang Bihua,Yuan Dongming, et al. Optimizing the Combined Input and Crosspoint Queued (CICQ) switch: A new flow control mechanism[OL].[17 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4573446


	7. End-to-End Inference of Network Link Delay Distribution
	KANG Mengxiao,LIU Yuanan
	Electrics, Communication and Autocontrol Technology 11 November 2013
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	Abstract:In this paper ,under the condition of two assumptions, network topology is known and steady, link performance is temporally and spatially independent. We propose a method which is based on end-to-end measurement with low computation complexity to estimate network link delay. Firstly pseudo likelihood estimation (PLE) is used. Secondly, in the process of estimation we adopt a variable bin size discrete model which is composed with M fixed bin size models. This method reduces the computational complexity of estimating link delay distribution. Finally ns2 based simulation results verify the accuracy and the validity of this method.
	TO cite this article:KANG Mengxiao,LIU Yuanan. End-to-End Inference of Network Link Delay Distribution[OL].[11 November 2013] http://en.paper.edu.cn/en_releasepaper/content/4569329


	8. Triple-mode Sleeping Mechanism Design for Energy Efficiency in Cellular Network
	Xu Feng,Kai Niu,Ping Gong,Baoyu Tian,Shaohui Sun
	Electrics, Communication and Autocontrol Technology 07 November 2013
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	Abstract:The cellular network energy needs urgently to be saved because the carbon emissions continue to increase. Therefore, many kinds of energy saving methods in bases are widely researched and designed. In this study, we propose a different kind of method to realize the energy saving in base stations. Three base station modes are defined: Normal Work Mode, Light Sleep Mode and Deep Sleep Mode. By conditionally switching among these modes according to the traffic load, base stations will fall asleep when it's necessary to save energy. State set is brought in to analyze the process of state transition. And we propose a novel way to evaluate the traffic load of the network. Moreover, a general method of optimizing all bases' modes is put forward and the energy-efficiency is considered in the optimizing process. The proposed sleep and wake-up mode have been validated by some simulations and experimental results under the LTE scenarios.
	TO cite this article:Xu Feng,Kai Niu,Ping Gong, et al. Triple-mode Sleeping Mechanism Design for Energy Efficiency in Cellular Network[OL].[ 7 November 2013] http://en.paper.edu.cn/en_releasepaper/content/4567963


	9. A Multi Hop Routing Protocol using Energy Aware in Wireless Sensor Networks
	Bai Demeng,He Zunwen,Chen Cunxiang,Sun Hongmei,Cui Jian,Liu Shuang
	Electrics, Communication and Autocontrol Technology 20 September 2013
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	Abstract:Energy efficiency and network stability affects the application of WSNs, while routing plays a vital role in balancing energy consumption. At present Low-Energy Adaptive Clustering Hierarchy (LEACH) Protocol is a widely used solution. However, there exist problems on network lifetime and stability of LEACH. An improved Routing protocol based on LEACH is proposed to deal with that. Energy threshold is introduced in cluster head (CH) election and multi hop routing to base station (BS) is proposed in routing phase. Simulation proves that improved routing protocol effectively extend the lifetime and improve stability of network.
	TO cite this article:Bai Demeng,He Zunwen,Chen Cunxiang, et al. A Multi Hop Routing Protocol using Energy Aware in Wireless Sensor Networks[OL].[20 September 2013] http://en.paper.edu.cn/en_releasepaper/content/4559266


	10. Timeslot allocation schemes for integrated TD-SCDMA/ Ad Hoc network
	LI Xujie
	Electrics, Communication and Autocontrol Technology 30 August 2013
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:In this paper, we present two timeslot allocation schemes for integrated TD-SCDMA/Ad Hoc network. The network integrating TD-SCDMA network proposed by China and Ad Hoc network is named as C3G-A network. Firstly, the architecture of C3G-A network is developed. Then two timeslot allocation schemes are presented and analyzed. One is centralized scheme and the other is distributed scheme. In centralized scheme, the data collection and calculation is done only at the base station. But in distributed scheme, the data collection and calculation is done at the base station and mobile stations. Simulation results show that the distributed timeslot allocation scheme can get better performance compared with centralized timeslot allocation scheme.
	TO cite this article:LI Xujie. Timeslot allocation schemes for integrated TD-SCDMA/ Ad Hoc network[OL].[30 August 2013] http://en.paper.edu.cn/en_releasepaper/content/4557466

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