A Decentralized Locality-preserving Context-aware Service Discovery Framework for the Internet of Things

被引:19
|
作者
Li, Juan [1 ]
Zaman, Nazia [1 ]
Li, Honghui [2 ]
机构
[1] N Dakota State Univ, Dept Comp Sci, Fargo, ND 58105 USA
[2] Inner Mongolia Agr Univ, Coll Comp & Informat Engn, Hohhot, Peoples R China
来源
2015 IEEE 12TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2015) | 2015年
关键词
Internet of Things; discovery; context-aware; semantics;
D O I
10.1109/SCC.2015.51
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Today's Internet is shifting towards a larger and smarter scenario known as the Internet of Things (IoTs). The IoT envisions a multitude of heterogeneous objects and interactions with physical environments. In this environment, locating desirable services is challenging due to the considerable diversity, large number, dynamic behavior, and geographical distribution of the services provided by physical objects. In this paper, we propose a context-aware semantics-based service discovery mechanism - LOCA that can effectively locate services based on the context requirements. The proposed discovery framework is built on a fully distributed peer-to-peer (P2P) architecture which is scalable and robust. Moreover, a key feature of the discovery mechanism is its support of content and path locality. This feature can enhance the integrity of an organization and thus greatly improve the security of the organization. The effectiveness of the proposed framework is demonstrated through comprehensive simulation studies.
引用
收藏
页码:317 / 323
页数:7
相关论文
共 50 条
  • [1] A Decentralized Trustworthy Context and QoS-Aware Service Discovery Framework for the Internet of Things
    Li, Juan
    Bai, Yan
    Zaman, Nazia
    Leung, Victor C. M.
    IEEE ACCESS, 2017, 5 : 19154 - 19166
  • [2] Context-aware Service Discovery and Selection in Decentralized Environments
    Ahmed, Mariwan
    Liu, Lu
    Yuan, Bo
    Trovati, Marcello
    Hardy, James
    CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING, 2015, : 2228 - 2235
  • [3] Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: a Context-Aware Approach
    Aljubairy, Abdulwahab
    Alhazmi, Ahoud
    Zhang, Wei Emma
    Sheng, Quan Z.
    Tran, Dai Hoang
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2021, PT II, 2021, 13081 : 480 - 488
  • [4] Context-aware search optimization framework on the internet of things
    Bharti, Monika
    Kumar, Rajesh
    Saxena, Sharad
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 30 (14):
  • [5] Context-Aware Trustworthy Service Evaluation in Social Internet of Things
    Khani, Maryam
    Wang, Yan
    Orgun, Mehmet A.
    Zhu, Feng
    SERVICE-ORIENTED COMPUTING (ICSOC 2018), 2018, 11236 : 129 - 145
  • [6] A Context-Aware Edge Computing Framework for Smart Internet of Things
    Ben Sada, Abdelkarim
    Naouri, Abdenacer
    Khelloufi, Amar
    Dhelim, Sahraoui
    Ning, Huansheng
    FUTURE INTERNET, 2023, 15 (05)
  • [7] Towards a Context-Aware Framework for Internet of Things and Smart Everything
    Bazan-Munoz, Adrian
    SERVICE-ORIENTED COMPUTING - ICSOC 2022 WORKSHOPS, 2023, 13821 : 308 - 313
  • [8] Context-aware Computing for the Internet of Things
    Piccialli, Francesco
    Jeon, Gwanggil
    INTERNET OF THINGS, 2021, 14
  • [9] Context-Aware Location in the Internet of Things
    Andreini, Federico
    Crisciani, Flavio
    Cicconetti, Claudio
    Mambrini, Raffaella
    2010 IEEE GLOBECOM WORKSHOPS, 2010, : 300 - 304
  • [10] CARD: Context-Aware Resource Discovery for mobile Internet of Things scenarios
    Pozza, Riccardo
    Nati, Michele
    Georgoulas, Stylianos
    Gluhak, Alexander
    Moessner, Klaus
    Krco, Srdjan
    2014 IEEE 15TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2014,