Efficient service discovery in mobile social networks for smart cities
Abstract
Mobile social networks (MSNs) play an important role in the process of the development of smart cities. Citizens can interact and engage with services provided by MSNs. Smart city services enhance their quality of life. With the popularity of smart phones, mobile social activities have become an important component of citizens’ daily life. People can post their social contents to their remote friends and can access shared information in the cycles of friends anytime and anywhere through their mobile devices. This human-centered social approach generates enormous amounts of social data that are distributed across various smart devices. Efficient service discovery from such cycles of friends is a fundamental challenge for MSNs. This paper proposes a friends’ cycle service discovery (FCSD) model for searching social services in MSNs based on human sociological theories and social strategies. In the proposed FCSD network, intelligent network nodes with common social interests can self-organize to interact and form social cycles with other potential nodes, and further can co-operate autonomously to identify and discover useful services from cycles of friends and cycles of friends’ friends. The proposed model has been simulated and evaluated in a decentralized mobile social environment with an evolving network. The experimental results show that the FCSD model exhibits better performance compared with relevant state-of-the-art services search methods.
References
[1]
Peng GCA, Nunes MB, and Zheng L Impacts of low citizen awareness and usage in smart city services: the case of london’s smart parking system IseB 2017 15 4 845-876
[2]
Letaifa SB How to strategize smart cities: revealing the smart model J Bus Res 2015 68 7 1414-1419
[3]
Yang P, Stankevicius D, Marozas V, Deng Z, Liu E, Lukosevicius A, Dong F, Xu L, and Min G Lifelogging data validation model for internet of things enabled personalized healthcare IEEE Trans Syst Man Cybern Syst 2018 48 1 50-64
[4]
Ismagilova E, Hughes L, Dwivedi YK, and Raman KR Smart cities: advances in research—an information systems perspective Int J Inf Manage 2019 47 88-100
[5]
Qi J, Yang P, Hanneghan M, Tang S, and Zhou B A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors IEEE Internet Things J 2018 6 2 1384-1393
[6]
Zhao L, Al-Dubai A, Zomaya AY, Min G, Hawbani A, Li J (2020) Routing schemes in software-defined vehicular networks: design, open issues, and challenges. IEEE Intell Transp Syst Mag
[7]
Wu J, Zou L, Zhao L, Al-Dubai A, Mackenzie L, and Min G A multi-uav clustering strategy for reducing insecure communication range Comput Netw 2019 158 132-142
[8]
Silva BN, Khan M, and Han K Towards sustainable smart cities: a review of trends, architectures, components, and open challenges in smart cities Sustain Cities Soc 2018 38 697-713
[9]
Mao Z, Jiang Y, Min G, Leng S, Jin X, and Yang K Mobile social networks: design requirements, architecture, and state-of-the-art technology Comput Commun 2017 100 1-19
[10]
Campana MG and Delmastro F Recommender systems for online and mobile social networks: a survey Online Soc Netw Media 2017 3–4 75-97
[11]
Yang Y, An H, Ren J (2016) Understanding wechat continuance usage from the perspectives of flow experience, self-control, and communication environment. In: 2016 13th International conference on service systems and service management (ICSSSM), pp 1–3.
[12]
Shi J, Wang X, Jianmeng L, Mingwei Z, Min H (2018) Content-centric community-aware mobile social network routing scheme. In: 2018 14th International conference on mobile ad-hoc and sensor networks (MSN), pp 55–60.
[13]
Radenkovic M, Huynh VSH, and Manzoni P Adaptive real-time predictive collaborative content discovery and retrieval in mobile disconnection prone networks IEEE Access 2018 6 32188-32206
[14]
Salve AD, Mori P, and Ricci L A survey on privacy in decentralized online social networks Comput Sci Rev 2018 27 154-176
[15]
Kalogeraki V, Gunopulos D, Zeinalipour-Yazti D (2002) A local search mechanism for peer-to-peer networks. In: Proceedings of the eleventh international conference on information and knowledge management, ACM, New York, NY, USA, CIKM ’02, pp 300–307.
[16]
Liu L, Antonopoulos N, and Mackin S Fault-tolerant peer-to-peer search on small-world networks Future Gen Comput Syst 2007 23 8 921-931
[17]
Liu L, Antonopoulos N, and Mackin S Managing peer-to-peer networks with human tactics in social interactions J Supercomput 2008 44 3 217-236
[18]
Liu L, Xu J, Russell D, Townend P, and Webster D Efficient and scalable search on scale-free p2p networks Peer-to-Peer Netw Appl 2009 2 2 98-108
[19]
Babaei H, Fathy M, and Romoozi M Modeling and optimizing random walk content discovery protocol over mobile ad-hoc networks Perform Eval 2014 74 18-29
[20]
Guidi B, Amft T, De Salve A, Graffi K, and Ricci L Didusonet: a p2p architecture for distributed dunbar-based social networks Peer-to-Peer Netw Appl 2016 9 6 1177-1194
[21]
Yuan B, Liu L, and Antonopoulos N Efficient service discovery in decentralized online social networks Future Gen Comput Syst 2018 86 775-791
[22]
Guo Y, Liu L, Wu Y, and Hardy J Interest-aware content discovery in peer-to-peer social networks ACM Trans Internet Technol 2018 18 3 39:1-39:21
[23]
Watts DJ Networks, dynamics, and the small-world phenomenon Am J Sociol 1999 105 2 493-527
[24]
Uzzi B and Spiro J Collaboration and creativity: the small world problem Am J Sociol 2005 111 2 447-504
[25]
Watts DJ and Strogatz SH Collective dynamics of ‘small-world’ networks Nature 1998 393 6684 440-442
[26]
Watts DJ, Dodds PS, and Newman MEJ Identity and search in social networks Science 2002 296 5571 1302-1305
[27]
Haythornthwaite C Social network analysis: an approach and technique for the study of information exchange Libr Inf Sci Res 1996 18 4 323-342
[28]
Granovetter M The strength of weak ties: a network theory revisited Sociol Theory 1983 1 1983 201-233
[29]
Levin DZ and Cross R The strength of weak ties you can trust: the mediating role of trust in effective knowledge transfer Manage Sci 2004 50 11 1477-1490
[30]
Martin TG, Burgman MA, Fidler F, Kuhnert PM, Low-Choy S, McBride M, and Mengersen K Eliciting expert knowledge in conservation science Conserv Biol 2012 26 1 29-38
[31]
Kautz H, Selman B, and Shah M Referral web: combining social networks and collaborative filtering Commun ACM 1997 40 3 63-65
[32]
Hutton EL et al (2014) Xunzi: the complete text. Princeton University Press
[33]
Barabási AL and Albert R Emergence of scaling in random networks Science 1999 286 5439 509
[34]
Joseph S (2002) Neurogrid: semantically routing queries in peer-to-peer networks. In: Web engineering and peer-to-peer computing, Springer Berlin Heidelberg, Berlin, Heidelberg, pp 202–214.
[35]
Liu L, Antonopoulos N, Mackin S, Xu J, and Russell D Efficient resource discovery in self-organized unstructured peer-to-peer networks Concurr Comput Pract Exp 2009 21 2 159-183
[36]
Liu L, Antonopoulos N, Zheng M, Zhan Y, and Ding Z A socioecological model for advanced service discovery in machine-to-machine communication networks ACM Trans Embed Comput Syst 2016 15 2 38:1-38:26
[37]
Girolami M, Belli D, and Chessa S Collaborative service discovery in mobile social networks J Netw Syst Manage 2019 27 1 233-268
[38]
Feng B, Fu Q, Dong M, Guo D, and Li Q Multistage and elastic spam detection in mobile social networks through deep learning IEEE Netw 2018 32 4 15-21
[39]
Dong M, Ota K, and Liu A Rmer: reliable and energy-efficient data collection for large-scale wireless sensor networks IEEE Internet Things J 2016 3 4 51-519
[40]
Wu J, Dong M, Ota K, Li J, and Guan Z Fcss: Fog computing based content-aware filtering for security services in information centric social networks IEEE Trans Emerg Top Comput 2019 7 4 553-564
[41]
Radcliffe-Brown AR On social structure J R Anthropol Inst G B Irel 1940 70 1 1-12
[42]
Cowan N, Nugent LD, Elliott EM, Ponomarev I, and Saults JS The role of attention in the development of short-term memory: age differences in the verbal span of apprehension Child Dev 1999 70 5 1082-1097
[43]
Lum JAG and Conti-Ramsden G Long-term memory: a review and meta-analysis of studies of declarative and procedural memory in specific language impairment Top Lang Disord 2013 33 4 282-297
[44]
DMOZ (2019) The directory of the web. https://dmoz-odp.org/. Accessed 12 Dec 2019
Index Terms
- Efficient service discovery in mobile social networks for smart cities
Index terms have been assigned to the content through auto-classification.
Recommendations
Secure friend discovery based on encounter history in mobile social networks
Mobile social networking becomes increasingly popular with the explosive growth of mobile devices. By allowing mobile users to interact with potential friends around the real world, it enables new social interactions as a complement to Web-based online ...
Social media mining for smart cities and smart villages research
AbstractThe imperative of well-being and improved quality of life in smart cities context can only be attained if the smart services, so central to the concept of smart cities, correspond with the needs, expectations and skills of cities’ inhabitants. ...
A Mobile-Based Service for Building Social Networks for Mobile Users
ISMS '12: Proceedings of the 2012 Third International Conference on Intelligent Systems Modelling and SimulationNowadays, social networks become popular with the emerging of web-based social networking services. Recently, several mobile services are developed to connect users to their favourite social networks such as Face book, Twitter, Flickr, etc. However, ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
© Springer-Verlag GmbH Austria, part of Springer Nature 2020.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 01 February 2021
Accepted: 29 May 2020
Received: 10 January 2020
Author Tags
Author Tag
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 26 Jan 2025