Xinheng Wang
University of West London
88Publications
15H-index
1,423Citations
Publications 88
Newest
Lei Zhang17
Estimated H-index: 17
(Zhejiang University),
Minlin Chen (Zhejiang University)+ 1 AuthorsZhi Wang8
Estimated H-index: 8
(Zhejiang University)
In this paper, a novel time of arrival (TOA) estimation method is proposed based on an iterative cleaning process to extract the first path signal. The purpose is to address the challenge in dense multipath indoor environments that the power of the first path component is normally smaller than other multipath components, where the traditional match filtering (MF)-based TOA estimator causes huge errors. Along with parameter estimation, the proposed process is trying to detect and extract the firs...
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Published on Nov 1, 2018in IEEE Transactions on Mobile Computing 4.10
Elahe Naserian1
Estimated H-index: 1
(University of the West),
Xinheng Wang15
Estimated H-index: 15
(University of West London)
+ 1 AuthorsYuning Dong2
Estimated H-index: 2
(Nanjing University of Posts and Telecommunications)
Through the availability of location-acquisition devices, huge volumes of spatio-temporal data recording the movement of people is provided. Discovery of the group of people who travel together can provide valuable knowledge to a variety of critical applications. Existing studies on this topic mainly focus on the movement of vehicles or animals with forcing the group members to stay always connected. However, the movement of people is different; people might belong to the same main group while t...
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Published on Jan 1, 2018in Future Generation Computer Systems 4.64
Elahe Naserian1
Estimated H-index: 1
(University of the West of Scotland),
Xinheng Wang15
Estimated H-index: 15
(University of West London)
+ 2 AuthorsZaijian Wang1
Estimated H-index: 1
(Anhui Normal University)
Abstract In recent years, research on location predictions by mining trajectories of users has attracted a lot of attentions. Existing studies on this topic mostly focus on individual movements, considering the trajectories as solo movements. However, a user usually does not visit locations just for the personal interest. The preference of a travel group has significant impacts on the places they visit. In this paper, we propose a novel personalized location prediction approach which further tak...
1 Citations Source Cite
Published on Dec 1, 2018 in Global Communications Conference
Elahe Naserianhanzaei , Xinheng Wang15
Estimated H-index: 15
(University of West London),
Keshav P. Dahal
Providing location recommendations has become an essential feature for location-based social networks (LBSNs), as it helps the users to explore new places and makes LBSNs more prevalent to them. Existing studies mostly focus on introducing the new features that affect users' check-in behaviours in LBSNs. However, despite the difference in the type of the features exploited, they mostly follow the same principle - characterizing dependencies between the probability of a user visiting a point-of-i...
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Published on Oct 1, 2017in China Communications 1.51
Zaijian Wang1
Estimated H-index: 1
(Anhui Normal University),
Yuning Dong1
Estimated H-index: 1
(Nanjing University of Posts and Telecommunications)
+ 1 AuthorsXinheng Wang15
Estimated H-index: 15
(University of the West of Scotland)
To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service (QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modified K-Singular Value Decomposition (K-SVD) method for multimedia identification. After analyzing several instances of typical Internet multimedia traffic captured in a campus network, this paper defines a new set of QoS classes according to the difference in downstream/upstream ra...
1 Citations Source Cite
Xinheng Wang15
Estimated H-index: 15
(University of the West of Scotland),
Congcong Zhang1
Estimated H-index: 1
(Alcatel-Lucent)
+ 2 AuthorsXiaolong Xu4
Estimated H-index: 4
(Nanjing University of Posts and Telecommunications)
This paper presents a simultaneous localization and mapping (SLAM) method that utilizes the measurement of ambient magnetic fields present in all indoor environments. In this paper, an improved exponentially weighted particle filter was proposed to estimate the pose distribution of the object and a Kriging interpolation method was introduced to update the map of the magnetic fields. The performance and effectiveness of the proposed algorithms were evaluated by simulations on MATLAB based on a ma...
4 Citations Source Cite
Published on Mar 30, 2017in Sensors 2.48
Lei Zhang17
Estimated H-index: 17
(Zhejiang University),
Danjie Huang1
Estimated H-index: 1
(Zhejiang University)
+ 2 AuthorsZhi Wang8
Estimated H-index: 8
(Zhejiang University)
As the demand for indoor localization is increasing to support our daily life in large and complex indoor environments, sound-based localization technologies have attracted researchers’ attention because they have the advantages of being fully compatible with commercial off-the-shelf (COTS) smartphones, they have high positioning accuracy and low-cost infrastructure. However, the non-line-of-sight (NLOS) phenomenon poses a great challenge and has become the technology bottleneck for practical ap...
2 Citations Source Cite
Published on Jun 1, 2017 in Green Computing and Communications
Dong Wang , Xinheng Wang15
Estimated H-index: 15
+ 1 AuthorsZhi Wang8
Estimated H-index: 8
(Zhejiang University)
Internet of Things (IoT) is being developed rapidly and applied widely in our society. A large number of network nodes with different attributes join in the network and makes the structure of the network rather complex. Traditional research about network routing concentrates on a few network attributes as routing metrics like energy and bandwidth. However, the network performance may be decreased when concentrating on one or few metrics. In this paper, a service oriented routing is proposed base...
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Published on Nov 1, 2017 in Dependable Autonomic and Secure Computing
Elahe Naserian1
Estimated H-index: 1
(University of the West of Scotland),
Xinheng Wang15
Estimated H-index: 15
(University of the West of Scotland)
+ 3 AuthorsKaizhu Huang
Pattern-based prediction is one of the widely used approaches to predict the future location of the users in a mobile environment. Currently, pattern-based prediction is performed in two sequential steps: discovering a set of sequential frequent patterns, followed by generating the prediction rules. However, existing methods cannot forecast locations where their support is less than the threshold. Therefore, some useful patterns with low support cannot be discovered which leads to the reduction ...
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