Asia-Pacific Conference on Communications最新文献

Human-Centric Autonomous Driving Based on a Two-Stage Machine Learning Algorithm 基于两阶段机器学习算法的以人为中心的自动驾驶

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC55198.2022.9943704

Md. Abdul Latif Sarker, Dong Seog Han

引用次数: 1

Wireless sensor networks node localization via Leader Intelligent Selection optimization algorithm 基于Leader智能选择优化算法的无线传感器网络节点定位

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC.2013.6766033

Jiaren Wang, Enqing Dong, Fulong Qiao, Zongjun Zou

{"title":"Wireless sensor networks node localization via Leader Intelligent Selection optimization algorithm","authors":"Jiaren Wang, Enqing Dong, Fulong Qiao, Zongjun Zou","doi":"10.1109/APCC.2013.6766033","DOIUrl":"https://doi.org/10.1109/APCC.2013.6766033","url":null,"abstract":"In this paper, we propose a node localization algorithm based on the received signal strength (RSS) measurements and the Leader Intelligent Selection (LIS) optimization algorithm in Wireless Sensor Networks (WSN). The LIS optimization algorithm is proposed based on the idea of biological heuristic. By designing a simple animal group leader se lection mode, a leader candidates' group is searched by the leader searcher, and an optimal individual is selected from the group as the leader which is the global optimal solution of the optimization problem by evaluating each leader candidate's ability. In order to accelerate the leader's campaign and the evolutionary rate in the later period of LIS, the simple Minimum Mean Square Error (MMSE) algorithm or the centroid algorithm is adopted to obtain an initial coordinate as the initial leader of LIS algorithm using the information of the anchor node coordinates and the ranging findings. By considering fully the distance factor, an improved objective function is defined, so the node localization problem in WSN could be transformed into a nonlinear unconstrained optimization problem. The proposed LIS algorithm is used to solve this problem, and the obtained solution is the estimated value of the WSN node's coordinates. Compared with the Artificial Bee Colony (ABC) algorithm, the Particle Swarm Optimization (PSO) algorithm and the Genetic Algorithm (GA), the proposed LIS algorithm is better than the others in accuracy and calculation complexity.","PeriodicalId":210687,"journal":{"name":"Asia-Pacific Conference on Communications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483838","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}

引用次数: 6

A generalized spatial correlation approximation under arbitrary AoA scenarios 任意AoA情景下的广义空间相关近似

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC.2013.6765988

Qiuming Zhu, Shengkui Zhou, Pan Huang, Yaping Tang, Xiaomin Chen, Dazhuan Xu

引用次数: 0

Design of a novel Equalizer-Driver with 3.7 Vpp diff linear output swing and 16 dB of peaking gain at 55 GHz for 64 GBd PAM-4 optical communication transmitters 为64gbd PAM-4光通信发射机设计一种新颖的均衡器驱动器，具有3.7 Vpp的差分线性输出摆幅和16db的55ghz峰值增益

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC.2018.8633540

R. Hersent, A. Ouslimani, A. Kasbari

引用次数: 1

A time synchronization protocol based on dynamic route list for wireless sensor networks 基于动态路由表的无线传感器网络时间同步协议

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC.2013.6765927

Zongjun Zou, Enqing Dong, Dejing Zhang, Jie Song

引用次数: 2

Study on the Reflection of the IRS in the Presence of Misaligned Incident Angles 入射角不对准时红外光谱反射特性的研究

Asia-Pacific Conference on Communications Pub Date : 1900-01-01 DOI: 10.1109/APCC55198.2022.9943592

Van Phu Tuan, The-Hien Pham, I. Hong

引用次数: 0