To see the other types of publications on this topic, follow the link: Location-based networks.

Journal articles on the topic 'Location-based networks'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Location-based networks.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Baydar, Mucahit, and Songul Albayrak. "Location prediction in location-based social networks." Global Journal of Information Technology: Emerging Technologies 7, no. 3 (December 24, 2017): 149–56. http://dx.doi.org/10.18844/gjit.v7i3.2835.

Full text
Abstract:
AbstractDevelopments in mobile devices and wireless networks have led to the increasing popularity of location-based social networks. These networks allow users to explore new places, share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks. This paper studies the problem of predicting the next check-in of users of location-based social networks. For an accurate prediction, we first analyse the datasets that are obtained from the social networks, Foursquare and Gowalla. Then we obtain some features like place popularity, place popular time range, place distance to user’s home, user’s past visits, category preferences and friendships ,which are used for prediction and deeper understanding of the user behaviours. We use each feature individually, and then in combination, using the new method. Finally, we compare the acquired results and observe the improvement with the new method.Keywords: Location prediction, location-based social network, check-in data.
APA, Harvard, Vancouver, ISO, and other styles
2

Yan, Gongjun, Wu He, Hui Shi, and Dazhi Chong. "Rank and Location Based Security Mechanism for Mobile Networks." International Journal of Signal Processing Systems 7, no. 2 (March 2019): 43–48. http://dx.doi.org/10.18178/ijsps.7.2.43-48.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rahimi, Seyyed Mohammadreza, Behrouz Far, and Xin Wang. "Behavior-based location recommendation on location-based social networks." GeoInformatica 24, no. 3 (May 25, 2019): 477–504. http://dx.doi.org/10.1007/s10707-019-00360-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Guo, Lei, Haoran Jiang, and Xinhua Wang. "Location Regularization-Based POI Recommendation in Location-Based Social Networks." Information 9, no. 4 (April 9, 2018): 85. http://dx.doi.org/10.3390/info9040085.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yu, Fei, and Shouxu Jiang. "Mining Location Influence for Location Promotion in Location-Based Social Networks." IEEE Access 6 (2018): 73444–56. http://dx.doi.org/10.1109/access.2018.2882057.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Omar, Asma. "LOCATION BASED PROTOCOL FOR WIRELESS NETWORKS." Engineering Science & Technology Journal 2, no. 1 (March 29, 2020): 26–34. http://dx.doi.org/10.51594/estj.v2i1.120.

Full text
Abstract:
The current networks such as GPSR have its own limitations such as data transmission delay and node errors. To overcome such problems, new protocols are proposed in various studies. In current study, a location-based protocol for wireless network is proposed by using the MAC interception. The algorithm is such that if best possible node is not possible, the data can be transferred using the second-best possible node thus introducing the intermediary nodes as well in the model. Additionally, based on simulation, the results are compared for the performance of the proposed protocol with two other protocols. The results show that the proposed protocol perform better compare to the other protocols in terms of data transmission efficiency and reliability.
APA, Harvard, Vancouver, ISO, and other styles
7

Likhyani, Ankita, Srikanta Bedathur, and Deepak P. "Location-Specific Influence Quantification in Location-Based Social Networks." ACM Transactions on Intelligent Systems and Technology 10, no. 3 (May 31, 2019): 1–28. http://dx.doi.org/10.1145/3300199.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mengual, Luis, Oscar Marbán, and Santiago Eibe. "Clustering-based location in wireless networks." Expert Systems with Applications 37, no. 9 (September 2010): 6165–75. http://dx.doi.org/10.1016/j.eswa.2010.02.111.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Chorley, Martin J., Roger M. Whitaker, and Stuart M. Allen. "Personality and location-based social networks." Computers in Human Behavior 46 (May 2015): 45–56. http://dx.doi.org/10.1016/j.chb.2014.12.038.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Guo, Lei, Yufei Wen, and Fangai Liu. "Location perspective-based neighborhood-aware POI recommendation in location-based social networks." Soft Computing 23, no. 22 (January 10, 2019): 11935–45. http://dx.doi.org/10.1007/s00500-018-03748-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Ying, Bidi, and Dimitrios Makrakis. "Protecting location privacy in vehicular networks against location-based attacks." International Journal of Parallel, Emergent and Distributed Systems 30, no. 2 (July 7, 2014): 101–17. http://dx.doi.org/10.1080/17445760.2014.910665.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Jiang, Yu, Yan Chun Liang, Li Li He, Ying Hui Cao, and Cheng Quan Hu. "An Improvement of LEACH Protocol Based on Motes’ Location Information." Advanced Materials Research 108-111 (May 2010): 1176–81. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.1176.

Full text
Abstract:
Network’s life cycle and the energy expending rates of mote are important performance criterions for wireless sensor networks (WSN). An improved routing protocol based on LEACH was proposed in this paper to prolong the network’s life cycle. The improved routing protocol took the circumstance into consideration, that is every mote knows the location information of its own and that of the base station. We analyzed that how to use these location information to extend the mote’s life cycle. And then the extension of the entire network life cycle was achieved. Simulation on the NS2-environment was conducted. And the experimental results show that the whole network’s life cycle was extended greatly.
APA, Harvard, Vancouver, ISO, and other styles
13

Chien-Chao Tseng, Kuang-Hui Chi, Ming-Deng Hsieh, and Hung-Hsing Chang. "Location-based fast handoff for 802.11 networks." IEEE Communications Letters 9, no. 4 (2005): 304–6. http://dx.doi.org/10.1109/lcomm.2005.04010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Chien-Chao Tseng, Kuang-Hui Chi, Ming-Deng Hsieh, and Hung-Hsing Chang. "Location-based fast handoff for 802.11 networks." IEEE Communications Letters 9, no. 4 (April 2005): 304–6. http://dx.doi.org/10.1109/lcomm.2005.1413615.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Zhang, Shiwen, Yaping Lin, Qin Liu, Junqiang Jiang, Bo Yin, and Kim-Kwang Raymond Choo. "Secure hitch in location based social networks." Computer Communications 100 (March 2017): 65–77. http://dx.doi.org/10.1016/j.comcom.2017.01.011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Kosmides, Pavlos, Konstantinos Demestichas, Evgenia Adamopoulou, Chara Remoundou, Ioannis Loumiotis, Michael Theologou, and Miltiades Anagnostou. "Providing recommendations on location-based social networks." Journal of Ambient Intelligence and Humanized Computing 7, no. 4 (February 8, 2016): 567–78. http://dx.doi.org/10.1007/s12652-016-0346-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Labrador, Miguel A., Katina Michael, and Axel Küpper. "Advanced location-based services." Computer Communications 31, no. 6 (April 2008): 1053–54. http://dx.doi.org/10.1016/j.comcom.2008.01.033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Khazaei and Alimohammadi. "Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks." ISPRS International Journal of Geo-Information 8, no. 9 (September 12, 2019): 406. http://dx.doi.org/10.3390/ijgi8090406.

Full text
Abstract:
Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs). Since human beings are social by nature, group activities are important in individuals’ lives. Due to the different interests and priorities of individuals, it is difficult to find places that are ideal for all members of a group. In this study, a context-aware group-oriented location recommendation system is proposed based on a random walk algorithm. The proposed approach considers three different contexts, namely users’ contexts (i.e., social relationships, personal preferences), location context (i.e., category, popularity, capacity, and spatial proximity), and environmental context (i.e., weather, day of the week). Three graph models of LBSNs are constructed to perform a random walk with restart (RWR) algorithm in which a user-location graph is considered as the basis. In addition, two group recommendation strategies are used. One is an aggregated prediction strategy, and the other is derived from extending the RWR to the group. After performing the RWR algorithm, the group profile and location popularity are used to improve the effectiveness of the recommendation. The performance of the proposed system is examined using the Gowalla dataset related to the city of London from March 2009 to July 2011. The results indicate that the RWR algorithm outperforms popularity-based, collaborative filtering and content-based filtering. In addition, using the group profile and location popularity significantly improves the accuracy of recommendation. On the user-location graph, the number of users with recommendations matching the test data increases by 1.18 times, while the precision of creating relevant recommendations is increased by 3.4 times.
APA, Harvard, Vancouver, ISO, and other styles
19

Baek, Jang Hyun, Jae Young Seo, Seog Ku Lim, and Douglas C. Sicker. "An Enhanced Location-Based Location Update Scheme in Mobile Cellular Networks." ETRI Journal 27, no. 4 (August 9, 2005): 457–60. http://dx.doi.org/10.4218/etrij.05.0204.0058.

Full text
APA, Harvard, Vancouver, ISO, and other styles
20

Zhu, Wen-Yuan, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, and Xiaofang Zhou. "Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks." ACM Transactions on Knowledge Discovery from Data 11, no. 2 (December 26, 2016): 1–28. http://dx.doi.org/10.1145/3001938.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Xu, Chuan, Li Luo, Yingyi Ding, Guofeng Zhao, and Shui Yu. "Personalized Location Privacy Protection for Location-Based Services in Vehicular Networks." IEEE Wireless Communications Letters 9, no. 10 (October 2020): 1633–37. http://dx.doi.org/10.1109/lwc.2020.2999524.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Saleem, Muhammad Aamir, Rohit Kumar, Toon Calders, and Torben Bach Pedersen. "Effective and efficient location influence mining in location-based social networks." Knowledge and Information Systems 61, no. 1 (July 7, 2018): 327–62. http://dx.doi.org/10.1007/s10115-018-1240-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
23

Osmani, Amjad, Abolfazl Toroghi Haghighat, and Shirin Khezri. "Location Update Improvement Using Fuzzy Logic Optimization in Location Based Routing Protocols in MANET." International Journal of Grid and High Performance Computing 3, no. 3 (July 2011): 1–19. http://dx.doi.org/10.4018/jghpc.2011070101.

Full text
Abstract:
Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied to a better management of location update operation in hierarchical location services. Update management overhead is decreased without significant loss of query success probability. One-hop-chain-technique is used for Auto compensation. A new composed method can update mobile nodes location when the nodes cross a grid boundary. The proposed method uses a dynamic grid area that ?solves the ping-pong problem between grids. Simulation results show that these methods are effective. The algorithms are distributed and can keep scalability in the scenario of increasing nodes density?. The described solutions are not limited to a special network grid ordering, and can be used in every hierarchical ordering like GLS if the ordering can be mappable on these methods.
APA, Harvard, Vancouver, ISO, and other styles
24

Luo, Xin-long, Wei Li, and Jia-ru Lin. "Geometric Location Based on TDOA for Wireless Sensor Networks." ISRN Applied Mathematics 2012 (January 11, 2012): 1–10. http://dx.doi.org/10.5402/2012/710979.

Full text
Abstract:
Wireless sensor networks (WSNs) consist of a large number of low-cost miniature sensors, which can be applied to battlefield surveillance, environmental monitoring, target tracking, and other applications related to the positions of sensors. The location information of sensors is of great importance for wireless sensor networks. In this paper, we propose a new localization algorithm for the wireless sensor network based on time difference of arrival (TDOA), which is a typical algorithm in the wireless localization field. In order to improve the localization accuracy of a sensor, a new strategy is proposed for a localized sensor being upgraded to an anchor node, which is used to localize the position of the next sensor. Performance analysis and simulation results show that the revised TODA localization algorithm has the higher localization accuracy when compared with the original TDOA location method.
APA, Harvard, Vancouver, ISO, and other styles
25

Tal, Omer, and Yang Liu. "A Joint Deep Recommendation Framework for Location-Based Social Networks." Complexity 2019 (March 19, 2019): 1–11. http://dx.doi.org/10.1155/2019/2926749.

Full text
Abstract:
Location-based social networks, such as Yelp and Tripadvisor, which allow users to share experiences about visited locations with their friends, have gained increasing popularity in recent years. However, as more locations become available, the need for accurate systems able to present personalized suggestions arises. By providing such service, point-of-interest recommender systems have attracted much interest from different societies, leading to improved methods and techniques. Deep learning provides an exciting opportunity to further enhance these systems, by utilizing additional data to understand users’ preferences better. In this work we propose Textual and Contextual Embedding-based Neural Recommender (TCENR), a deep framework that employs contextual data, such as users’ social networks and locations’ geo-spatial data, along with textual reviews. To make best use of these inputs, we utilize multiple types of deep neural networks that are best suited for each type of data. TCENR adopts the popular multilayer perceptrons to analyze historical activities in the system, while the learning of textual reviews is achieved using two variations of the suggested framework. One is based on convolutional neural networks to extract meaningful data from textual reviews, and the other employs recurrent neural networks. Our proposed network is evaluated over the Yelp dataset and found to outperform multiple state-of-the-art baselines in terms of accuracy, mean squared error, precision, and recall. In addition, we provide further insight into the design selections and hyperparameters of our recommender system, hoping to shed light on the benefit of deep learning for location-based social network recommendation.
APA, Harvard, Vancouver, ISO, and other styles
26

Kim, Dae-Young, Dae-sik Ko, and Seokhoon Kim. "Network Access Control for Location-Based Mobile Services in Heterogeneous Wireless Networks." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6195024.

Full text
Abstract:
Recent advances in information communication technology and software have enabled mobile terminals to employ various capabilities as a smartphone. They adopt multiple interfaces for wireless communication and run as a portable computer. Mobile services are also transferred from voice to data. Mobile terminals can access Internet for data services anytime anywhere. By using location-based information, improved mobile services are enabled in heterogeneous networks. In the mobile service environment, it is required that mobile terminals should efficiently use wireless network resources. In addition, because video stream becomes a major service among the data services of mobile terminals in heterogeneous networks, the necessity of the efficient network access control for heterogeneous wireless networks is raised as an important topic. That is, quality of services of the location-based video stream is determined by the network access control. Therefore, this paper proposes a novel network access control in the heterogeneous wireless networks. The proposed method estimates the network status with Naïve Bayesian Classifier and performs network access control according to the estimated network status. Thus, it improves data transmission efficiency to satisfy the quality of services. The efficiency of the proposed method is validated through the extensive computer simulation.
APA, Harvard, Vancouver, ISO, and other styles
27

Chiang, Tzu Chiang, Hua Yi Lin, and Jia Lin Chang. "A Rendezvous-Location Based Multicast Secure Communication in Ad Hoc Networks." Advanced Materials Research 121-122 (June 2010): 657–62. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.657.

Full text
Abstract:
Mobile ad-hoc networking (MANET) is a collection of mobile nodes that want to communicate to each others, but has no fixed links like wireless infrastructure networks to provide group applications and services. Therefore we need concern about providing each node with a secure and efficient key management system for dynamically discovering other nodes which can directly communicate with. Due to the network topology of an ad hoc network changes frequently and unpredictable, so the security of multicast routing becomes more challenging than the traditional networks. In this paper, we describe how any users in the multicast group can compose the group keys and propose a hierarchical group key management to securely multicast data from the multicast source to the rest of the multicast members in wireless ad hoc networks. This approach has a hierarchical structure where the group members are partitioned into rendezvous-location based clusters which can reduce the cost of key management. It not only provides the multicast routing information, but also fits the robustness of the wireless networks and reduces the overhead for the security management.
APA, Harvard, Vancouver, ISO, and other styles
28

Mutalemwa, Lilian, and Seokjoo Shin. "Strategic Location-Based Random Routing for Source Location Privacy in Wireless Sensor Networks." Sensors 18, no. 7 (July 15, 2018): 2291. http://dx.doi.org/10.3390/s18072291.

Full text
Abstract:
Wireless sensor networks (WSNs) are deployed in sensitive applications, such as in military and asset monitoring. In these applications, it is important to ensure good source location privacy. This is owing to the open nature of WSNs and the easiness of an adversary to eavesdrop on sensor communication and back trace the location of the source node. This paper proposes a scheme to preserve the source location privacy based on random routing techniques. To achieve high privacy, packets are randomly routed from the source to the sink node through strategically positioned mediate or diversion nodes. The random selection of mediate or diversion nodes is location-based. Depending on the location of the source node, packets are forwarded through different regions of the network. The proposed scheme guarantees that successive packets are routed through very different routing paths and adversaries find it confusing to back trace them to the source node location. Simulation results demonstrate that the proposed scheme effectively confuses the adversary and provides higher source location privacy to outperform other routing-based source location privacy schemes.
APA, Harvard, Vancouver, ISO, and other styles
29

Turunen, Tuukka, Tino Pyssysalo, and Juha Röning. "Mobile AR Requirements for Location Based Social Networks." International Journal of Virtual Reality 9, no. 4 (January 1, 2010): 67–78. http://dx.doi.org/10.20870/ijvr.2010.9.4.2792.

Full text
Abstract:
Utilizing the novel User Interface (UI) technology of Augmented Reality (AR) in mobile phones provides significant advantages for Location Based Social Networks (LBSN) via powerful UI that allows the user to see the world through AR view rather than via a traditional map view. Compared to use of a map based interface, it is much easier for the user to understand where the nearby friends and points of interests are located when using a mobile AR interface to access the information of LBSN services. Recent development in the commercially available high end mobile phones has made it a viable device to use globally available AR services, but there still exist some limitations when it comes to LBSN services. Especially demanding is the need to include constantly moving friends reliably and accurately as annotated objects into the AR view of a user. In this article we show for the first time that mobile phones can be utilized to create mobile AR based LBSN services and create an experimental system to validate this. We present the most important use cases of the mobile AR based LBSN services, define the key requirements for the system, and analyze how the current high end mobile phones meet these. We point out the main challenges in position and orientation accuracy, data transfer and power consumption, as well as solutions to improve these. We present results from end-user studies and our experimental system we have created to study mobile AR interface for the LBSN services, and conclude that the mobile phones can be used for creation of these services when the key challenges are resolved
APA, Harvard, Vancouver, ISO, and other styles
30

Jieyan Liu, Haigang Gong, and Jiazhi Zeng. "Preference Location-based Routing in Delay Tolerant Networks." International Journal of Digital Content Technology and its Applications 5, no. 12 (December 31, 2011): 468–74. http://dx.doi.org/10.4156/jdcta.vol5.issue12.57.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Li, Heng, Yonghe Liu, Siwang Zhou, and Hui Xu. "Toward Location based Vehicular Networks in Urban Environments." Procedia Computer Science 34 (2014): 442–49. http://dx.doi.org/10.1016/j.procs.2014.07.007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
32

Gao, Huiji, and Huan Liu. "Mining Human Mobility in Location-Based Social Networks." Synthesis Lectures on Data Mining and Knowledge Discovery 7, no. 2 (April 15, 2015): 1–115. http://dx.doi.org/10.2200/s00630ed1v01y201502dmk011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Chang, Wei, Jie Wu, and Chiu C. Tan. "Friendship-based location privacy in Mobile Social Networks." International Journal of Security and Networks 6, no. 4 (2011): 226. http://dx.doi.org/10.1504/ijsn.2011.045230.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Feng, Jun, Yuelong Zhu, Naoto Mukai, and Toyohide Watanabe. "Search on transportation networks for location-based service." Applied Intelligence 26, no. 1 (November 28, 2006): 69–79. http://dx.doi.org/10.1007/s10489-006-0004-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Bao, Jie, Yu Zheng, David Wilkie, and Mohamed Mokbel. "Recommendations in location-based social networks: a survey." GeoInformatica 19, no. 3 (February 6, 2015): 525–65. http://dx.doi.org/10.1007/s10707-014-0220-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
36

Saleh, Ahmed I., Amr Ali-Eldin, and Amr A. Mohamed. "Historical based location management strategies for PCS networks." Wireless Networks 23, no. 6 (April 16, 2016): 1967–92. http://dx.doi.org/10.1007/s11276-016-1268-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
37

Wang, Xiaonan, Deguang Le, and Hongbin Cheng. "Location-Based IPv6 Address Configuration for Vehicular Networks." Journal of Network and Systems Management 24, no. 2 (May 13, 2015): 257–84. http://dx.doi.org/10.1007/s10922-015-9350-z.

Full text
APA, Harvard, Vancouver, ISO, and other styles
38

Inaltekin, Hazer, Saman Atapattu, and Jamie S. Evans. "Optimum Location-Based Relay Selection in Wireless Networks." IEEE Transactions on Information Theory 67, no. 9 (September 2021): 6223–42. http://dx.doi.org/10.1109/tit.2021.3097588.

Full text
APA, Harvard, Vancouver, ISO, and other styles
39

Njoo, Gunarto Sindoro, Kuo-Wei Hsu, and Wen-Chih Peng. "Distinguishing friends from strangers in location-based social networks using co-location." Pervasive and Mobile Computing 50 (October 2018): 114–23. http://dx.doi.org/10.1016/j.pmcj.2018.09.001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
40

Yue-Qiang, Ren, Wang Ze, Sun Xiao-Na, and Sun Shi-Min. "A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks." IEEE Access 7 (2019): 100416–27. http://dx.doi.org/10.1109/access.2019.2929313.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Mazumdar, Pramit, Bidyut Kr Patra, Korra Sathya Babu, and Russell Lock. "Hidden location prediction using check-in patterns in location-based social networks." Knowledge and Information Systems 57, no. 3 (February 15, 2018): 571–601. http://dx.doi.org/10.1007/s10115-018-1170-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Yu, Wenhao. "Spatial co-location pattern mining for location-based services in road networks." Expert Systems with Applications 46 (March 2016): 324–35. http://dx.doi.org/10.1016/j.eswa.2015.10.010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

Yu, Ruiyun, Zhihong Bai, Leyou Yang, Pengfei Wang, Oguti Ann Move, and Yonghe Liu. "A Location Cloaking Algorithm Based on Combinatorial Optimization for Location-Based Services in 5G Networks." IEEE Access 4 (2016): 6515–27. http://dx.doi.org/10.1109/access.2016.2607766.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Po-Hsuan Tseng and Kai-Ten Feng. "Hybrid Network/Satellite-Based Location Estimation and Tracking Systems for Wireless Networks." IEEE Transactions on Vehicular Technology 58, no. 9 (November 2009): 5174–89. http://dx.doi.org/10.1109/tvt.2009.2023222.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Guo, Lei, Haoran Jiang, Xiyu Liu, and Changming Xing. "Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks." Complexity 2019 (November 4, 2019): 1–18. http://dx.doi.org/10.1155/2019/3574194.

Full text
Abstract:
As one of the important techniques to explore unknown places for users, the methods that are proposed for point-of-interest (POI) recommendation have been widely studied in recent years. Compared with traditional recommendation problems, POI recommendations are suffering from more challenges, such as the cold-start and one-class collaborative filtering problems. Many existing studies have focused on how to overcome these challenges by exploiting different types of contexts (e.g., social and geographical information). However, most of these methods only model these contexts as regularization terms, and the deep information hidden in the network structure has not been fully exploited. On the other hand, neural network-based embedding methods have shown its power in many recommendation tasks with its ability to extract high-level representations from raw data. According to the above observations, to well utilize the network information, a neural network-based embedding method (node2vec) is first exploited to learn the user and POI representations from a social network and a predefined location network, respectively. To deal with the implicit feedback, a pair-wise ranking-based method is then introduced. Finally, by regarding the pretrained network representations as the priors of the latent feature factors, an embedding-based POI recommendation method is proposed. As this method consists of an embedding model and a collaborative filtering model, when the training data are absent, the predictions will mainly be generated by the extracted embeddings. In other cases, this method will learn the user and POI factors from these two components. Experiments on two real-world datasets demonstrate the importance of the network embeddings and the effectiveness of our proposed method.
APA, Harvard, Vancouver, ISO, and other styles
46

Zhang, Yu Jun, and Jing Li. "Research of Fault Location in Low-Voltage Distribution Networks." Applied Mechanics and Materials 340 (July 2013): 819–23. http://dx.doi.org/10.4028/www.scientific.net/amm.340.819.

Full text
Abstract:
The low-voltage distribution networks have some structural features, such as short supply line, more lines branch and influence of transition resistance of the short-circuit current. These characteristics seriously affect the development of fault location technology. The paper, based on the basis of the structural features about the low-voltage distribution networks, create the distribution networks of description matrix by knowledge of mathematical topology and use the distribution network fault location algorithm based on web-based structure matrix. By the algorithm, the area of fault judgment and the actual distribution network fault location are fully consistent. The new theory provides a new way of thinking for fault location in low-voltage distribution networks.
APA, Harvard, Vancouver, ISO, and other styles
47

Li, Wei, and Sisi Zlatanova. "Significant Geo-Social Group Discovery over Location-Based Social Network." Sensors 21, no. 13 (July 2, 2021): 4551. http://dx.doi.org/10.3390/s21134551.

Full text
Abstract:
Geo-social community detection over location-based social networks combining both location and social factors to generate useful computational results has attracted increasing interest from both industrial and academic communities. In this paper, we formulate a novel community model, termed geo-social group (GSG), to enforce both spatial and social factors to generate significant computational patterns and to investigate the problem of community detection over location-based social networks. Specifically, GSG detection aims to extract all group-venue clusters, where users are similar to each other in the same group and they are located in a minimum covering circle (MCC) for which the radius is no greater than a distance threshold γ. Then, we present a GSGD algorithm following a three-step paradigm to enumerate all qualified GSGs in a large network. We propose effective optimization techniques to efficiently enumerate all communities in a network. Furthermore, we extend a significant GSG detection problem to top-k geo-social group (TkGSG) mining. Rather than extracting all qualified GSGs in a network, TkGSG aims to return k feasibility groups to guarantee the diversity. We prove the hardness of computing the TkGSGs. Nevertheless, we propose the effective greedy approach with a guaranteed approximation ratio of 1−1/e. Extensive empirical studies on real and synthetic networks show the superiority of our algorithm when compared with existing methods and demonstrate the effectiveness of our new community model and the efficiency of our optimization techniques.
APA, Harvard, Vancouver, ISO, and other styles
48

Khan, Nauman Ali, Wuyang Zhou, Mudassar Ali Khan, Ahmad Almogren, and Ikram Ud Din. "Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks." Scientific Programming 2021 (February 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/5553566.

Full text
Abstract:
Social Internet of Things (SIoT) is a variation of social networks that adopt the property of peer-to-peer networks, in which connections between the things and social actors are automatically established. SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks’ formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors’ communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.
APA, Harvard, Vancouver, ISO, and other styles
49

Miyoshi, Takumi, Yusuke Shimomura, and Olivier Fourmaux. "A P2P-based Communication Framework for Geo-Location Oriented Networks." Journal of Telecommunications and Information Technology 1 (March 29, 2019): 58–66. http://dx.doi.org/10.26636/jtit.2019.131119.

Full text
Abstract:
This paper proposes a novel peer-to-peer communication framework to implement geographical location oriented networks, called G-LocON. Location-based services have been gaining in popularity, as proven by ridesharing and mobile games. Although these services have to construct geolocation oriented networks based on their users’ geographical locations, they completely rely on client/server models to communicate with neighboring terminals. G-LocON provides geolocation oriented device-to-device communication only with the current wireless technologies, such as LTE and Wi-Fi, cooperating with the global positioning system and peer-to-peer overlay networking. G-LocON will serve as a type of a mobile ad-hoc network in which devices located within the focusing area are capable of communicating directly. We developed a primitive Android application to implement the GLocON framework. Evaluation of the solution’s performance has verified the usefulness of the proposed system that offers an admissive transmission delay. Moreover, to confirm the application-related potential of the G-LocON framework, we also show a practical map software in which all neighboring mobile devices present in the focusing area are displayed.
APA, Harvard, Vancouver, ISO, and other styles
50

Verma, Lal Pratap, Aniket Mathuriya, and Rajneesh Manwall. "Enhance Location Based Power Aware Routing Protocol in Ad-Hoc Network." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (April 30, 2012): 81–85. http://dx.doi.org/10.24297/ijct.v2i3b.2694.

Full text
Abstract:
In wireless ad-hoc networks, there areseveral characteristics different with wired networks. Thedifferences are changing of network topology, limitedresources like bandwidth and energy and so on. In thesedays as the bandwidth issue becomes more important, it isrequired to research about the efficient resource allocationmethods optimized in wireless network ks. In the paper,we improve LAR (Location-Aided Routing) which is oneof the most famous location based routing methods. Thiskind of technique uses information about the location ofmobile node through GPS technique. Our new protocolconsiders both areas of routing and bandwidth. At first,propose a more efficient routing method which improvesthe quality of services .Secondly, a bandwidth awaremethod is proposed to select proper transmissionbandwidth node by using a threshold value of bandwidth
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography