Yazar "Mahmood, Musaria K." seçeneğine göre listele

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    ABC-based optimization of cluster head selection in wireless sensor networks
    (School of Electrical Engineering and Informatics, 2021) Karim, Sulaiman M.; Ozturk, Celal; Mahmood, Musaria K.
    There are several advantages of using Wireless Sensor Networks (WSNs) compared to wired sensor networks, such as lower cost, easier deployment, and better scalability. WSNs are employed in many fields such as medicine, industry, and economics, among others. As the use of WSNs grows in a number of applications, further work is being done on research and development of new methods to enhance their performance. Selecting the proper routing protocol is a significant consideration and an important task for all WSN applications. Many pieces of research focused on the routing problem which can contribute to the improvement of WSN lifetime and problem-solving techniques. This paper, however, discusses the various existing optimization techniques, including numerous modifications to the LEACH protocol. It then conducts a series of simulations to notice the difference between utilizing LEACH alone and LEACH with the ABC optimization algorithm. The purpose of these experiments is to prove the improvement made by the ABC on the residual energy which is reflected positively in the number of received packets and minimize the dead nodes. This will demonstrate how to optimize WSN system towards energy conservation. LEACH with ABC revealed much better results than LEACH on its own. This indicates one possible optimization technique that limits dead nodes and increases overall residual energy usage and the network lifetime. Many scenarios are simulated to validate the improvement of the WSN performances. © 2021, School of Electrical Engineering and Informatics. All rights reserved.
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    Analysis and evaluation of symmetric key ciphers for internet of things smart home
    (Institute of Advanced Engineering and Science, 2021) Abdulla, Lujain S.; Mahmood, Musaria K.; Salih, Abbas F.; Karim, Sulaiman M.
    A large number of sensors and intelligent devices are interconnected via the internet to collect data as part of the internet of things (IoT) applications. Data security is one of the important challenges for these applications due to vulnerability of the internet. IoT devices limiting factors, such as delay-sensitivity, restricted memory, and low computing capability, make choosing the appropriate data encryption standard extremely important. The current research focuses on evaluating four data security, block cipher standards for the IoT smart home application. Considering the encryption/decryption speed, DES, TDES, AES, and SAFER+ standards are evaluated by implementing the algorithms with MATLAB to determine the best security solution. The simulation of the four standards shows the superiority of SAFER+ standard in term of encryption speed compared to others added to its capabilities on security, and software implementation opportunity. The use of classical symmetric key standards for real time data security in the IoT application can be validated through the selection of SAFER+. © 2021 Institute of Advanced Engineering and Science. All rights reserved.
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    Combination of Graph Reduction and Tie-set Techniques for Network Reliability Assessment
    (Institute of Electrical and Electronics Engineers Inc., 2021) Aljbur, Nazik; Mahmood, Musaria K.; Myderrizi, Indrit
    The reliability of the communication network is used as one of the quality of service factors defining the availability and the resilience of the operating networks. Many classical algorithms exist but most of them fail to be applied for real-time reliability assessment in complex networks where the calculation load is increased in function of the complexity. In the present work, a new algorithm is proposed to resolve the problem of the reliability evaluation for all kinds of networks (simple and complex). The algorithm is based on the combination of two classical reliability methods giving an efficient hybrid algorithm. Graph transformation method and tie sets methods are fused into multi stages algorithm. The network passes through many simplification layers based on series, parallel, and edge factoring graph transformation to transform a complex network into a simpler network. The simplified topology is then used as input for a classical algorithm; here the tie sets for the two-terminal reliability evaluation. A simulation is performed on a 11-node random complex network to compare the performances of the new algorithm to the existing algorithms. The results of the proposed algorithm are compared to those resulting from the use of tie sets algorithm in term of computing time. The implementation of the algorithms by MATLAB shows a noticeable improvement in the time for reliability calculation. The improvement depends on the selected commodity as source-destination pair. For example, the network under simulation shows an improvement in time computing compared to classical tie-set algorithm of 550% for the commodity (2-3). Also, there is no limitation on the size and complexity of the network. © 2021 IEEE
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    Reliability assessment of the iraqi national communication network
    (Institute of Advanced Engineering and Science, 2018) Mahmood, Musaria K.; Al-Naima, Fawzi M.; Zaidan, Zahraa
    The design of communication networks continues to progress rapidly in more suitable forms to meet the challenges of the present era. This paper presents a tentative study of the design of a reliable Iraqi National Communication Network (INCN). The INCN connects all major cities in Iraq with Baghdad as the central node. The followed subjected procedure is a general method which can be applied to all similar problems concerning any Wide Area Network design. An optimal backbone is first designed by Prim’s algorithm which has distances between cities as input data. The INCN is subjected to reliability improvement by adding links to the initial backbone. An improved algorithm based on tie-sets method is developed for network reliability computation. Three selected scenarios (Net1, Net2, and Net3) for the INCN are presented and underwent reliability estimation. Evaluation results show a successive improvement of the network reliability to yield to an optimal solution recognized as being Net3. The adopted topology for the INCN is based on two clusters having Baghdad as the common head cluster. Clustering will simplify the reliability evaluation by decreasing the number of tie-sets, and hence the computation complexity. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
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    Reliability Evaluation Using a Clustering Technique Based on Tie-set Method
    (IEEE, 2020) Mahmood, Musaria K.; Myderrizi, Indrit
    In this paper, an efficient technique to be used for reliability evaluation of complex networks with a large number of links and/or nodes is presented. By mapping network topology into many partitions through a hierarchical clustering process, the network's nodes are distributed in distinct groups at the top level. Then each group where the tie-set algorithm is independently applicable is represented only by contact nodes. The reliability evaluation is performed for the network simplified in this way. The proposed method is validated in terms of calculation speed and computational complexity through simulation of a randomly selected network.