Forthcoming articles


International Journal of Systems, Control and Communications


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International Journal of Systems, Control and Communications (12 papers in press)


Regular Issues


  • Modeling and Global Predictive Control for Distributed-driven High Speed Trains
    by Wei Yongsong, Wu Jing, Li Shaoyuan 
    Keywords: .

  • Complete Amplitude Scaling and Projective Synchronization of a class of Nonlinear Dynamical systems   Order a copy of this article
    by Vicky Garg, Bharat Bhushan Sharma 
    Abstract: The amplitude control of chaotic systems is important keeping in view different applications of such systems. This paper addresses attaining complete amplitude control by introducing a control function into the nonlinearity of a class of chaotic systems which are having only one nonlinearity. The analytical results presented here show that amplitude of all states of addressed class of chaotic systems can be controlled by introducing control function with the nonlinearity without altering the Lyapunov exponents. Further, the control scheme by applying the Lyapunov stability is presented to realize projective synchronization of the addressed class of systems by considering the fact that the control function can provide the scale factors. The proposed synchronization control function is derived using Lyapunov stability theory with typical feature of amplitude scaling without losing chaotic properties. The approach is illustrated using the Genesio system and cubic Chua system as typical examples. The simulation results show the efficacy of proposed approach in achieving amplitude control of all states and the corresponding projective synchronization under the influence of proposed controller.
    Keywords: Lyapunov exponent; Amplitude scaling; Genesio system; cubic Chua system; Projective synchronization.

  • Quid Pro Quo LEACH protocol   Order a copy of this article
    by Abed Al Raoof Bsoul, Ahmad Manasrah, Khalid M.O. Nahar, Moyawiah Al-Shennaq 
    Abstract: Wireless sensor network (WSN) consists of a large number of sensors to sense different variations in the surroundings from various locations. These sensors communicate with each other to forward the gathered data to the base station (BS). Hence, the energy consumption is one of the main issues that affects the overall performance of the WSN implementation. In this paper, a Quid Pro Quo LEACH (QPQ-LEACH) protocol is introduced. The working mechanism of the Cluster Head (CH) is maintained. However, the CH will not be replaced by new CH until it expends energy due to its continuous working time that is less than a certain threshold value. Moreover, the QPQ-LEACH trades the re-clustering process to save the energy consumed for establishing new clusters every round. The simulation results show that the proposed QPQ-LEACH protocol effectively reduces the energy consumption and prolongs the network lifetime in comparison with other known protocols.
    Keywords: Energy-efficient; Routing in WSN; Low energy adaptive clustering hierarchy (LEACH); Enhanced LEACH; wireless sensor networks; cluster head selection; Base station; Energy efficient Clustering; Ad Hoc Communication; WSN lifetime.

  • Implementation of Electroencephalography (EEG) Controlled Prosthetic Hand   Order a copy of this article
    by Syed Tahir Hussain Rizvi, Muhammad Majid Gulzar, Muhammad Yaqoob Javed 
    Abstract: Use of brain signals for restoring function of impaired body parts using scientific methods is called Brain Machine Interface (BMI). This article presents BMI to control five-fingered prosthetic hand using the Electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for Brain Control Interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.
    Keywords: Prosthetic Hand; Electroencephalography; Microcontroller; Brain Control Interface; Physical Implementation.

  • Moth-Flame optimization algorithm based fractional order PID controller with MRAC tuning configuration   Order a copy of this article
    by Bachir Bourouba, Samir Ladaci, Abdelhafid Chaabi 
    Abstract: This paper proposes a new Fractional-order PID controller (FOPID) design based on the adaptive model reference control (MRAC) configuration using a practical numerical search method called Moth-Flame Optimization (MFO) algorithm for the parameters' adjustment. The five parameters of the fractional order PIλDμ controller, namely the coefficients KP, KI and KD and the fractional integral and derivative orders λ and μ are optimized by evaluating an exact quadratic performance index. Numerical simulation examples illustrate the effectiveness of the proposed tuning method for different plant model structures, and to show relative performance enhancement comparatively to other parameters' tuning strategies.
    Keywords: Moth-Flame Optimization algorithm; fractional order PIλDμ controller; MRAC; parameter tuning.

  • Smart Supply Chain Management using Internet of Things (IoT)   Order a copy of this article
    by Sangeetha Manoharan 
    Abstract: Supply Chain Management (SCM) records the information about the movement of raw materials. Radio Frequency Identification (RFID) is the technology considered as the next promising technology in serving the positioning purpose. This paper proposes an SCM Simulation platform that deals with the tracking of goods or raw materials at both indoor and outdoor environment and also to monitor the goods using IoT anywhere and also at any time. Indoor Tracking of the good is accomplished through RFID Tags and Outdoor Tracking is done through Global Positioning Systems (GPS). XAMPP control panel is the server used here which is used to determine the location of goods and information updates on the server.
    Keywords: Arduino; global positioning system; GPS; hypertext preprocessor; PHP; internet of thing; IoT; radio frequency identification; RFID; tracking.
    DOI: 10.1504/IJSCC.2018.10008373
  • A Hybrid Bio-Inspired Approach to Solving the Routing Problem in Mobile Ad-Hoc Networks   Order a copy of this article
    by Labed Said, Kout Akram, Chikhi Salim, El-Bay Bourennane 
    Abstract: A Mobile Ad hoc NETwork (MANET) is an autonomous system of mobile hosts (nodes) connected by a wireless link.However, the problem of designing routing protocols poses challenges to researchers due to the unpredictable and dynamic nature of ad-hoc networks. Hence, bio-inspired algorithms are widely used to design adaptive routing strategies for MANETs. This paper proposes a routing protocol based on the hybridization of Ant Colony Optimization (ACO) and 2-opt heuristic with the optimization of ACO parameters. Given the vast scope of the parameters, a genetic algorithm is used to minimize the complexity of the problem. The implementation of the method is realized by Matlab. To valid the results in terms of the Quality of Service parameters (i.e.:Normalized Overhead Load, End-to-End Delay and Throughput), a comparison was conducted using the Ad-hoc on-demand distance vector routing protocol.
    Keywords: Mobile Ad-hoc Network; Bio-inspired routing; Ant Colony Optimization; Genetic Algorithm; Routing Protocols; QoS.

  • Fuzzy-based Wi-Fi localisation with high accuracy using fingerprinting   Order a copy of this article
    by Michael Ibrahim, Tarek Nabil, Hassan H. Halawa, Hany M. ElSayed, Ramez M. Daoud, Hassanein H. Amer, Mohamed Ismail, Mostafa Wahish, Mohamed Ibrahim 
    Abstract: In this paper, a localisation system based on Wi-Fi fingerprinting and fuzzy data analysis is presented. Three localisation techniques were used, Euclidean distance, K-nearest neighbours (KNN), and weighted K-nearest neighbours (WKNN), to get three independent estimations of a user's location. Then fuzzy analysis is used to combine the three estimates to achieve highly-accurate localisation. Two experiments were conducted in order to test the proposed new technique and compare it to the traditional fingerprinting techniques present in the literature. The results of the experiments proved that the proposed technique outperforms the traditional techniques.
    Keywords: localisation; fingerprinting; fuzzy; Euclidean distance; K-nearest neighbours; KNN; weighted K-nearest neighbours; WKNN.
    DOI: 10.1504/IJSCC.2018.10008066
  • Impact of black hole attack on reliability of mobile ad hoc network under DSDV routing protocol   Order a copy of this article
    by Moirangthem Marjit Singh, Jyotsna Kumar Mandal 
    Abstract: There has been considerable use of many devices that run on wireless infrastructure such as the mobile ad hoc network (MANET). MANET has become a preferred means of communication in recent times. The reliability and security aspects of MANET need to be investigated further to provide robust and reliable communication. However, current literature shows that little work has been done towards reliability analysis of MANET. The paper gives the reliability analysis of MANET with black hole attack running DSDV routing protocol. NS-2.35 simulation software is used to analyse the impact of black hole attack on the reliability of MANET under destination sequenced distance vector (DSDV) routing protocol. Simulation result shows that the reliability of MANET under multiple black hole attack is lower than the reliability of MANET under single black hole attack in DSDV routing protocol.
    Keywords: mobile ad hoc network; MANET; black hole attack; network reliability; destination sequenced distance vector routing protocol.
    DOI: 10.1504/IJSCC.2018.10008060
  • Recurrent neuro-fuzzy control of grid-interfaced solid oxide fuel cell system   Order a copy of this article
    by Muhammad Bilal Qureshi, Shahid Qamar, Syed Wajahat Ali, Usman Khalid 
    Abstract: The paper presents controller design, modelling, and simulations of the solid oxide fuel cell (SOFC) system. The SOFC model is used for the development of the fuzzy control scheme to improve the system performance. The SOFC is widely acknowledged for the clean distributed power generation. However, dire process problems occur frequently when the stand-alone fuel cell is directly interfaced with the electricity grid. Moreover, sustaining the optimal power quality and load following is the huge challenge, during the peak power demand schedule from the utility grid and large load perturbations. Consequently, a suitable and highly efficient control system is required for controlling and following the power load demands for the complex grid interfaced SOFC power systems. Therefore, a novel nonlinear hybrid adaptive recurrent fuzzy neural network (ARFNN) is developed for the control of the grid interfaced SOFC. The rapid power load following and safe SOFC operation requirement is also considered in the design of the closed loop control system. Simulation results proved that the proposed hybrid ARFNN enhances the optimal power quality and load-following than the conventional PI control scheme.
    Keywords: neural network; recurrent fuzzy logic; distributed generation; DG; solid oxide fuel cell; SOFC; adaptive control.
    DOI: 10.1504/IJSCC.2018.10007710
  • Modelling and analysis of information-based target searching using mobile sensors   Order a copy of this article
    by Tanmoy Hazra, Manisha Nene, C.R.S. Kumar 
    Abstract: Target searching is widely accepted as a significant area of study by various research communities. This paper addresses four target searching scenarios in a two-dimensional grid with obstacles, where multiple mobile sensors aim to search a single mobile target in a minimal time. The reachability condition of the target is checked before modelling the problem. The proposed work classifies the scenarios based on information-set available to the mobile sensors and the target. The scenarios are modelled as games that involve two adversary players: mobile sensor and target. The search strategies for the mobile sensors are formulated under different circumstances, and the strategic differences between cooperative and non-cooperative strategies are analysed. Later, the proposed work is extended in a new dimension, where information gain for the mobile sensors is determined by information refreshment interval. The proposed work helps the decision makers by facilitating the search operation in different scenarios.
    Keywords: strategies; grid; reachability objective; mobile sensors; game model; payoffs; connected graph; players; transition graph; Markov chain.
    DOI: 10.1504/IJSCC.2018.10007947
  • BAMR: a novel bandwidth aware multipath reactive routing protocol for mobile ad hoc network   Order a copy of this article
    by Sanjeev Kumar Prasad, Karamjit Bhatia 
    Abstract: Increasing traffic in mobile ad hoc networks (MANETs) demands high bandwidth. Mobility of communicating nodes is another crucial concern for such type of networks. Providing successful end to end communication in mobile ad hoc networks is a challenging task. In this paper, we aim at providing a bandwidth aware multipath reactive routing protocol for mobile ad hoc networks. The proposed protocol is an extension of ad hoc on demand multipath distance vector (AOMDV) routing protocol for mobile ad hoc networks. The proposed protocol, named as BAMR, attempts to discover paths with sufficient bandwidth and less link failures. The performance comparison of BAMR routing protocol is done with AOMDV and BAOMDV, an another bandwidth aware on demand multipath distance vector routing protocol for MANETs. Simulation results exhibit that proposed protocol BAMR significantly improves the performance of other two routing protocols and can be used more effectively for data transmissions in MANETs.
    Keywords: mobile ad hoc network; MANET; AOMDV; BAOMDV; expected transmission time; ETT; exponentially weighted moving average; EWMA; bandwidth; link failure.
    DOI: 10.1504/IJSCC.2018.10008071