In this paper, we first propose a novel UDN architecture based on Mobile Edge Computing (MEC), in which each MEC server is associated with a user-centric AP cluster to act as a mobile agent. In addition, in the
This Proposed work is further extension of our previous work, cluster based Soft Security trust metric evaluation in Mobile Pervasive Environment. Pervasive computing has the potential to provide low cost, high performance, and user centric solutions to exchange the information and communicate seamlessly...
In this paper we also suggest an approach for energy conservation by CBIR.Keshav Kumar TiwariProf. Sanjay Agrawal锘International Journal of Computer Science and Mobile ComputingInternational Journal of Computer Science & Mobile Computing
In this regard, context-aware approaches which exploits human predictability, recent advances in storage, edge/cloud computing and big...doi:10.1142/9789813140011_0099Zhen-feng WuXing-chuan Liu2015 2nd International Conference on Wireless Communication and Sensor Network (WCSN 2015)...
Machine Learning in Mobile Computing: Methods and ApplicationsSections PDF Tools Share Abstract In view of the importance of various components and asynchronous shapes of multivariate time series, a clustering method based on dynamic time warping and affinity propagation is proposed. From the two perspec...
In addition, the leak risk of the user privacy increases because all collected data are stored on the CS. Fortunately, due to the faster evolution of Internet-of-Things (IoTs) and 5G communication, the paradigm of mobile edge-computing (MEC) [10–12] is very helpful in solving the ...
Punithavelli, "Optimizing on Demand Weight -Based Clustering Using Trust Model for Mobile Ad Hoc Networks", International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC), vol. 1, no. 4, (2010) December, pp. 81-91.V.G.Rani and Dr.M.Punithavelli(2010), "Optimizing On Demand...
Mobile location estimation using density-based clustering technique for NLoS environments[J] . Cha-Hwa Lin,Juin-Yi Cheng,Chien-Nan Wu.Cluster Computing . 2007 (1)Cha-Hwa Lin,Juin-Yi Cheng,Chien-Nan Wu. Mobile location estimation using density-based clustering technique for NLoS environments...
Mobile ad hoc networks (MANETs) are gaining popularity in recent years due to their flexibility, the proliferation of smart computing devices, and developments in wireless communications. Clustering is an important research problem for MANETs because it enables efficient utilization of resources, and ...
Ironically, as visible in the above works, the strength of distance-basedclustering methodsis also their main weakness. Different distance metrics computing over distinct features and functions generate divergent outcomes leading to ambiguities in final cluster outputs. Also, the inclusion of a scheduled...