Forthcoming and Online First Articles

International Journal of Communication Networks and Distributed Systems

International Journal of Communication Networks and Distributed Systems (IJCNDS)

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International Journal of Communication Networks and Distributed Systems (5 papers in press)

Regular Issues

  • Spectrum Allocation and Power Control for D2D Communication underlay 5G Cellular Networks   Order a copy of this article
    by Mohamed Kamel BENBRAIKA, Bitam Salim 
    Abstract: The fifth-generation (5G) of cellular networks promises to assure low latency and high data rate. Device-to-device (D2D) communication technology can achieve those goals since it improves throughput and expands cell radius. However, the limited spectrum and devices battery life are considered as a handicap for efficient D2D communication. The joint spectrum allocation and power control problem is a nonlinear and controlled by many nonlinear constraints. To deal with this issue, we propose in this paper, a new bio-inspired approach called enhanced bee life algorithm for D2D communications (E-BLAD2D). This proposal generates an initial population according to the simulated annealing algorithm then, an enhanced bee life algorithm is suggested to improve the expected solution. After a set of simulations, the results obtained showed that E-BLAD2D surpasses genetic algorithm and particle swarm optimisation in terms of network throughput and the convergence speed to reach the optimal solution with a reduced computational complexity.
    Keywords: fifth-generation cellular networks; simulated annealing; bee life algorithm; BLA; device-to-device communication; genetic algorithm; particle swarm optimisation; PSO.
    DOI: 10.1504/IJCNDS.2021.10037236
     
  • Optimization of the data point configurations in a building environmental monitoring system   Order a copy of this article
    by Faridah Faridah, Sunarno Sunarno, Sentagi Sesotya Utami, Emilya Nurjani, Muhammad Ilham Hanif, Memory Motivanisman Waruwu, Rony Wijaya 
    Abstract: This paper discusses the comparison of point-to-point (PP) and multipoint-to-point (MP) configuration performance on the school environmental monitoring system. The existing system uses a PP configuration with three monitoring points. The MP configuration is built by inserting a Raspberry Pi microcomputer, which functions to access data acquisition on the existing system, send the data to the website server, and store the backup in the main database. The test results showed that the MP configuration could maintain PPs reliability performance with a success rate of 99.96%. The higher number of MP configuration processes made the real-time performance of MP worse than PP, with an average processing delay time of 360.93 ms and 710.77 ms for PP and MP, respectively. Optimisation was carried out by shortening the access delay time by accessing temporary data storage on the local acquisition server and providing 181.03 ±10.69 ms faster than the previous system.
    Keywords: building monitoring system; environmental monitoring system; point-to-point; PP; multipoint-to-point; Raspberry Pi; data communication; indoor environment quality.
    DOI: 10.1504/IJCNDS.2021.10039688
     
  • An Improved Firefly Algorithm for Routing in Flying Ad-hoc Networks   Order a copy of this article
    by Amrita Yadav, Seema Verma 
    Abstract: This paper presents a new and improved Firefly algorithm which can be used to solve routing issue in flying ad hoc networks. Flying ad hoc network is basically a new form of mobile ad hoc network (MANET) in which multiple unmanned aerial vehicles (UAV) are connected together in the form of nodes. Routing has been a foremost issue in FANETs. Firefly algorithm (FA) is one such nature-inspired swarm intelligence algorithm which gives efficient results when compared with other conventional algorithms. The proposed approach uses clustering as the methodology. The parameters taken in this algorithm to analyse the results are packet delivery ratio, end-to-end delay, routing overhead and throughput. The results of the proposed algorithm are compared with ant colony optimisation (ACO) and existing FA. The results indicate that this algorithm is considerably better than existing Firefly algorithm and ACO and can be used for finding optimal routing solutions.
    Keywords: flying ad hoc network; FANET; unmanned aerial vehicles; UAV; cluster; swarm; firefly; routing.
    DOI: 10.1504/IJCNDS.2021.10039689
     
  • Cloud-fog Computing System for Classification and Scheduling the Information-centric IoT Applications (CSIc_IoTA)   Order a copy of this article
    by K. Jairam Naik  
    Abstract: Cloud user’s submits their application for processing on the provider’s infrastructure expecting a diverse set of computational, storage, or communicational resources. Classifying the tasks of these applications based on their needs and scheduling them on to the most suitable resources is a big obstacle. To manage with such issues, a system that supports classification and scheduling them on to the most efficient resource for execution is essential. An information-centric (IC) internet of things (IoT) system for cloud-fog computing environment which supports these two key functionalities through ensured QoS was proposed in this article. The experimental simulations and performance analysis of the proposed approach was prepared by considering a global cloud with three servers, four fogs, and four types of IoT application with a sum of 3,000 tasks collectively. Experimental outcomes states that the anticipated cloud-fog computing architecture reduces the average makespan time and service cost up to a maximum of 11.8%, and 12.63% respectively when compared with other existing approaches. Also, the cost-makespan trade-off (CMT) gains with the proposed CSIc_IoTA is up to 28.5% and can guarantees better QoS requirements of real-time IoT applications.
    Keywords: classification; scheduling; IoT applications; resources; cloud-fog architecture; information-centric; utilisation; makespan time.
    DOI: 10.1504/IJCNDS.2021.10039780
     
  • A Blockchain based ITS framework with Privacy Preserving for Secure and Reliable Communication   Order a copy of this article
    by Soumyashree S. Panda, Debashish Jena, Bhabendu Kumar Mohanta, Srikanta Patnaik 
    Abstract: With the omnipresence of technology, intelligent transportation system (ITS) is no more a distant dream but has become an achievable reality. One of the fundamental challenges in the implementation of an ITS is the proper management of security and privacy issues, especially how the system confirms the validity of its users. Most of the existing security mechanisms are based on a centralized framework and assume the registration authority and roadside units to be trustful. Therefore, a distributed framework using Blockchain and, a very lightweight and privacy-preserving authentication protocol employing an interactive zero-knowledge proof (ZKP) based on elliptic curve cryptography (ECC) is proposed. An in-depth analysis of the protocol demonstrates that it meets all the security and privacy requisites of an ITS. In addition, the suggested protocol is also validated using the widely used AVISPA tool. The reliability and effectiveness of the protocol are analyzed through simulation using NS2 which proves the practicality of the protocol.
    Keywords: intelligent transportation system; ITS; zero knowledge proof; blockchain; security and privacy.
    DOI: 10.1504/IJCNDS.2021.10039935