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  • Open Access


    An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks

    Gulzar Mehmood1, Muhammad Zahid Khan1, Muhammad Fayaz2, Mohammad Faisal1, Haseeb Ur Rahman1, Jeonghwan Gwak3,4,5,6,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5929-5948, 2022, DOI:10.32604/cmc.2022.020546

    Abstract Due to the advancement in wireless technology and miniaturization, Wireless Body Area Networks (WBANs) have gained enormous popularity, having various applications, especially in the healthcare sector. WBANs are intrinsically resource-constrained; therefore, they have specific design and development requirements. One such highly desirable requirement is an energy-efficient and reliable Data Aggregation (DA) mechanism for WBANs. The efficient and reliable DA may ultimately push the network to operate without much human intervention and further extend the network lifetime. The conventional client-server DA paradigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the network. Similarly, in… More >

  • Open Access


    Multivariate Outlier Detection for Forest Fire Data Aggregation Accuracy

    Ahmad A. A. Alkhatib*, Qusai Abed-Al

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1071-1087, 2022, DOI:10.32604/iasc.2022.020461

    Abstract Wireless sensor networks have been a very important means in forest monitoring applications. A clustered sensor network comprises a set of cluster members and one cluster head. The cluster members are normally located close to each other, with overlaps among their sensing coverage within the cluster. The cluster members concurrently detect the same event to send to the Cluster Head node. This is where data aggregation is deployed to remove redundant data at the cost of data accuracy, where some data generated by the sensing process might be an outlier. Thus, it is important to conserve the aggregated data’s accuracy… More >

  • Open Access


    Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network

    J. Jean Justus1,*, M. Thirunavukkarasan2, K. Dhayalini3, G. Visalaxi4, Adel Khelifi5, Mohamed Elhoseny6,7

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 801-816, 2022, DOI:10.32604/cmc.2022.019122

    Abstract Wireless Sensor Network (WSN) forms an essential part of IoT. It is embedded in the target environment to observe the physical parameters based on the type of application. Sensor nodes in WSN are constrained by different features such as memory, bandwidth, energy, and its processing capabilities. In WSN, data transmission process consumes the maximum amount of energy than sensing and processing of the sensors. So, diverse clustering and data aggregation techniques are designed to achieve excellent energy efficiency in WSN. In this view, the current research article presents a novel Type II Fuzzy Logic-based Cluster Head selection with Low Complexity… More >

  • Open Access


    Maximizing Throughput in Wireless Multimedia Sensor Network using Soft Computing Techniques

    Krishnan Muthumayil1,*, Thangaiyan Jayasankar2, Nagappan Krishnaraj3, Mohamed Yacin Sikkandar4, Prakash Nattanmai Balasubramanian5, Chokkalingam Bharatiraja6

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 771-784, 2021, DOI:10.32604/iasc.2021.012462

    Abstract Wireless Multimedia Sensor Networks (WMSN) provides valuable information for scalar data, images, audio, and video processing in monitoring and surveillance applications. Multimedia streaming, however, is highly challenging for networks as energy restriction sensor nodes limit the potential data transmission bandwidth and lead to reduced throughput. WMSN’s two key design challenges, which can be achieved by the clustering process, are energy efficiency and throughput maximization. The use of the clustering technique helps to organise the sensor nodes into clusters, and between each cluster a cluster head (CH) will be chosen. This paper introduces a new Artificial Fish Swarm Optimization Algorithm (AFSA)… More >

  • Open Access


    A Trusted NUMFabric Algorithm for Congestion Price Calculation at the Internet-of-Things Datacenter

    Shan Chun1, Xiaolong Chen2, Guoqiang Deng3,*, Hao Liu4

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1203-1216, 2021, DOI:10.32604/cmes.2021.012230

    Abstract The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information. However, it is difficult to predict the congestion state of the link-end accurately at the source. In this paper, we presented an improved NUMFabric algorithm for calculating the overall congestion price. In the proposed scheme, the whole network structure had been obtained by the central control server in the Software Defined Network, and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.… More >

  • Open Access


    A Differentially Private Data Aggregation Method Based on Worker Partition and Location Obfuscation for Mobile Crowdsensing

    Shuyu Li1, Guozheng Zhang1, *

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 223-241, 2020, DOI:10.32604/cmc.2020.07499

    Abstract With the popularity of sensor-rich mobile devices, mobile crowdsensing (MCS) has emerged as an effective method for data collection and processing. However, MCS platform usually need workers’ precise locations for optimal task execution and collect sensing data from workers, which raises severe concerns of privacy leakage. Trying to preserve workers’ location and sensing data from the untrusted MCS platform, a differentially private data aggregation method based on worker partition and location obfuscation (DP-DAWL method) is proposed in the paper. DP-DAWL method firstly use an improved K-means algorithm to divide workers into groups and assign different privacy budget to the group… More >

  • Open Access


    Comprehensive Analysis of Secure Data Aggregation Scheme for Industrial Wireless Sensor Network

    Weidong Fang1, Wuxiong Zhang1,2,*, QianQian Zhao1,2, Xiaohong Ji3, Wei Chen4, Biruk Assefa5

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 583-599, 2019, DOI:10.32604/cmc.2019.05237

    Abstract As an Industrial Wireless Sensor Network (IWSN) is usually deployed in a harsh or unattended environment, the privacy security of data aggregation is facing more and more challenges. Currently, the data aggregation protocols mainly focus on improving the efficiency of data transmitting and aggregating, alternately, the aim at enhancing the security of data. The performances of the secure data aggregation protocols are the trade-off of several metrics, which involves the transmission/fusion, the energy efficiency and the security in Wireless Sensor Network (WSN). Unfortunately, there is no paper in systematic analysis about the performance of the secure data aggregation protocols whether… More >

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