Forthcoming articles


International Journal of Autonomic Computing


These articles have been peer-reviewed and accepted for publication in IJAC, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Autonomic Computing (2 papers in press)


Regular Issues


  • Sliding mode approach for performance improvement of slow and fast dynamic uncertain systems   Order a copy of this article
    by Subhash Sankeswari, Rajan Chile 
    Abstract: In this paper, an extended sliding mode control(SMC) method is proposed for applications of general class of control systems based on low order model obtained from slow or fast dynamics systems. In the proposed method, the sliding mode controllers(SMCr)are designed based on the three term controller (PID) with first order filter sliding surface.The contribution of the work proposed in this paper is that the designed controller methodology is applicable to general uncommon class of single input and single output (SISO) systems having lower or higher order dynamics, oscillatory or monotonic behavior and with or without delay time in the behavior of the systems. The developed controller performs well under parametric variations and uncertainty in the system. The robust property of the proposed method is verified by applying an external fixed and variable load disturbances. The stability and robustness properties of the proposed controller are proved by means of Lyapunov stability theorem.The high frequency chattering phenomenon which commonly occurs in SMC laws,is significantly reduced by adopting the switching gain with the known parameters of the system.The performance of the proposed SM control method is validated with the help of simulation examples and results are compared with other control methods available in the literature.
    Keywords: Sliding Mode Control; Higher order; Performance Analysis; Systems andrnDynamics; Reduced Order Model; Parametric Uncertainty.
    DOI: 10.1504/IJAC.2018.10016146

Special Issue on: ICCASP 2018 Next-Generation Computing Technologies

  • Particle Swarm Optimization Algorithm Based Intrusion Detection System (PSO-IDS) for Mobile Ad-hoc Network   Order a copy of this article
    by Shruti Dixit, Rakesh Singhai 
    Abstract: Ad-hoc Network is the category of cooperative wireless mobile nodes with the absence of centralized authority or infrastructure. It is vulnerable to different types of attacks such as passive and active because of open environment, speedily varying topology and decentralized nodes. An attack by a malicious node known as black hole attack can considerably diminishes ad-hoc network performance and results in disintegration of network, inaccessible nodes and severely degrades network performance. Evaluation of the additional effect due to existence of malicious nodes and determination of the suitable measures to detect these nodes in the network is the prime objective of the research work. In order to overcome this misbehaviour activity in the network, a Particle Swarm Optimization algorithm (PSO) based intrusion detection system (PSO-IDS) for ad-hoc networks is proposed. Swarm agents are effectively used to detect the malicious node by evaluating their packet behaviour based on Packet delivery fraction (PDF), average delay, number of packets dropped and packet capture. A defence technique called IDS is deployed for prevention against black hole attack due to malicious nodes. The simulation study establishes that the proposed PSO-IDS algorithm improves the performance metrics like throughput and packet delivery ratio.
    Keywords: MANET; Particle swarm optimization (PSO); Intrusion detection systems (IDS); malicious nodes; black hole attack.