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Future Generation Computer Systems
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#1Xiaozhu Liu (WUT: Wuhan University of Technology)
#2Rongbo Zhu (SCUN/SCUEC: South Central University for Nationalities)H-Index: 12
Last.Maode Ma (NTU: Nanyang Technological University)H-Index: 23
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Abstract Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks (WSNs). However the existing data fusion schemes lead to additional delay overhead and power consumptions. In order to improve the performance of WSNs, an intelligent data fusion algorithm based on hybrid delay-aware clustering (HDC) in WSNs is proposed, which combines the advantages of single-layer cluster structure and multi-layer cluster structure, and adaptiv...
#1Abid HussainH-Index: 5
#2Abid Hussain (DUT: Dalian University of Technology)
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Abstract Making a decision to shift from in-house to cloud computing is not an ordinary one. It involves cautious consideration of several key factors. The unavailability of precise information, ambiguous criteria and uncertainty of qualitative adjudication of decision makers further add to the problem. Enormous complexity and limitations of existing approaches make the service selection process extremely challenging and less trustworthy. To address such challenges, in this paper (1) we propose ...
#1Guolin SunH-Index: 1
Last.Wei JiangH-Index: 53
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Abstract Cloud radio access networks (C-RANs) have been regarded in recent times as a promising concept in future 5G technologies where all DSP processors are moved into a central base band unit (BBU) pool in the cloud, and distributed remote radio heads (RRHs) compress and forward received radio signals from mobile users to the BBUs through radio links. In such dynamic environment, automatic decision-making approaches, such as artificial intelligence based deep reinforcement learning (DRL), bec...
#1Qiang Liu (Xi'an Jiaotong University)H-Index: 1
#2Xiaoshe Dong (Xi'an Jiaotong University)H-Index: 6
Last.Xingjun Zhang (Xi'an Jiaotong University)H-Index: 6
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Abstract A partition-based hybrid hierarchical graph computation model, called H2Pregel is proposed to address the redundant supersteps and inefficient computation problems due to low access locality. The H2Pregel model preprocesses the input graph through a distributed recode algorithm to ensure the continuity and sequence of vertex ids, then employs a hybrid approach to combine the advantages of both synchronous and asynchronous models, and hierarchically computes the high proportion of interi...
#1Abdur Rehman Raza (National University of Sciences and Technology)
#2Khawir Mahmood (National University of Sciences and Technology)
Last.Mehreen Afzal (National University of Sciences and Technology)H-Index: 3
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Abstract Lightweight block ciphers are primarily designed for resource constrained devices. However, due to service requirements of large-scale IoT networks and systems, the need for efficient software implementations can not be ruled out. A number of studies have compared software implementations of different lightweight block ciphers on a specific platform but to the best of our knowledge, this is the first attempt to benchmark various software implementations of a single lightweight block cip...
Abstract The Probabilistic Semantic Link Network (P-SLN) is a model for enhancing the ability of Semantic Link Network in representing uncertainty. Probabilistic inference over uncertain semantic links can process the likelihood and consistency of uncertain semantic links. This work develops the P-SLN model by incorporating probabilistic inference rules and consistency constraints. Two probabilistic inference mechanisms are incorporated into the model. The application of probabilistic inference ...
#1Ahmed. A.A. Gad-Elrab (KAU: King Abdulaziz University)
#2Amin Y. Noaman (KAU: King Abdulaziz University)H-Index: 6
Abstract Recently, a newly distributed computing paradigm is established called cloud–fog paradigm by exploiting the cooperation between fog and cloud entities. In this paradigm, the main problem is task allocation which aims to select the optimal nodes among cloud and fog nodes for each task to minimize makespan, monetary and energy costs. In this paper, to solve this problem a new task allocation approach called two-tier bipartite graph with fuzzy clustering task allocation approach is propose...
Abstract One of the major challenges in Vehicular Ad hoc Networks (VANETs) is to find a stable and robust Cooperative Collision Avoidance (CCA) scheme to address the rising death toll caused by road accidents every year. This work presents a Probabilistic-Direction-Aware Cooperative Collision Avoidance (P-DACCA) scheme that takes into account realistic bi-directional traffic, which makes this work unique in the VANETs’ collision avoidance domain. The scheme starts with formation of dynamic clust...
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