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  • 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… More >

  • Open Access


    Bridge Health Mornitoring using Wireless Sensor Networks

    Byung-wan Jo1, Do-keun Kim2, Sung-keun Song3, Suk-un Kim4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.4, pp. 167-172, 2007, DOI:10.3970/icces.2007.001.167

    Abstract Wireless sensor networks bring new challenges to Bridge monitoring. To monitor a bridge, behavior, including vibration and displacement, must be measured to analyze the health of the structure based on measured and collected data. The collected data can be used to compute modal properties of the bridge. A bridge is moved by external forces, including wind, seismic activity, and traffic. So it is very hard reliance of safety through a preexistence method which uses Data Logger. Dynamic behavior of a bridge is difficult to measure because of costs and installation methods. In this paper, a More >

  • Open Access


    A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks

    Haoran Zhu1, Demin Gao1,2,*, Shuo Zhang1

    Journal on Internet of Things, Vol.1, No.1, pp. 25-31, 2019, DOI:10.32604/jiot.2019.05897

    Abstract Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, More >

  • Open Access


    LDPC Code’s Decoding Algorithms for Wireless Sensor Network: a Brief Review

    Weidong Fang1, Wuxiong Zhang1,2, Lianhai Shan1,*, Biruk Assefa3, Wei Chen4

    Journal of New Media, Vol.1, No.1, pp. 45-50, 2019, DOI:10.32604/jnm.2019.05786

    Abstract As an effective error correction technology, the Low Density Parity Check Code (LDPC) has been researched and applied by many scholars. Meanwhile, LDPC codes have some prominent performances, which involves close to the Shannon limit, achieving a higher bit rate and a fast decoding. However, whether these excellent characteristics are suitable for the resource-constrained Wireless Sensor Network (WSN), it seems to be seldom concerned. In this article, we review the LDPC code’s structure brief.ly, and them classify and summarize the LDPC codes’ construction and decoding algorithms, finally, analyze the applications of LDPC code for WSN. More >

  • Open Access


    An Improved MDS-MAP Localization Algorithm Based on Weighted Clustering and Heuristic Merging for Anisotropic Wireless Networks with Energy Holes

    Jing Wang1,*, Xiaohe Qiu1, Yuanfei Tu1

    CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 227-244, 2019, DOI:10.32604/cmc.2019.05281

    Abstract The MDS-MAP (multidimensional scaling-MAP) localization algorithm utilize almost merely connectivity information, and therefore it is easy to implement in practice of wireless sensor networks (WSNs). Anisotropic networks with energy hole, however, has blind communication spots that cause loss of information in the merging phase of MDSMAP. To enhance the positioning accuracy, the authors propose an MDS-MAP (CH) algorithm which can improve the clustering and merging strategy. In order to balance the effect of energy consumption and the network topology stabilization, we present a weighted clustering scheme, which considers the residual energy, the degree of connectivity More >

  • Open Access


    EIAS: An Efficient Identity-Based Aggregate Signature Scheme for WSNs Against Coalition Attack

    Yong Xie1, Fang Xu2, Xiang Li1, Songsong Zhang1, Xiaodan Zhang1,*, Muhammad Israr3

    CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 903-924, 2019, DOI:10.32604/cmc.2019.05309

    Abstract Wireless sensor networks (WSNs) are the major contributors to big data acquisition. The authenticity and integrity of the data are two most important basic requirements for various services based on big data. Data aggregation is a promising method to decrease operation cost for resource-constrained WSNs. However, the process of data acquisitions in WSNs are in open environments, data aggregation is vulnerable to more special security attacks with hiding feature and subjective fraudulence, such as coalition attack. Aimed to provide data authenticity and integrity protection for WSNs, an efficient and secure identity-based aggregate signature scheme (EIAS) More >

  • Open Access


    Maximum Data Generation Rate Routing Protocol Based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

    Demin Gao1, 2, *, Shuo Zhang1, Fuquan Zhang1, Xijian Fan1, Jinchi Zhang1,∗

    CMC-Computers, Materials & Continua, Vol.59, No.2, pp. 649-667, 2019, DOI:10.32604/cmc.2019.05195

    Abstract For rechargeable wireless sensor networks, limited energy storage capacity, dynamic energy supply, low and dynamic duty cycles cause that it is unpractical to maintain a fixed routing path for packets delivery permanently from a source to destination in a distributed scenario. Therefore, before data delivery, a sensor has to update its waking schedule continuously and share them to its neighbors, which lead to high energy expenditure for reestablishing path links frequently and low efficiency of energy utilization for collecting packets. In this work, we propose the maximum data generation rate routing protocol based on data More >

  • Open Access


    A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks

    Jin Wang1,2, Chunwei Ju2, Yu Gao2, Arun Kumar Sangaiah3, Gwang-jun Kim4,*

    CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 433-446, 2018, DOI: 10.3970/cmc.2018.04132

    Abstract Wireless Sensor Networks (WSNs) are large-scale and high-density networks that typically have coverage area overlap. In addition, a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area, which leads to coverage holes in WSNs. Thus, coverage control plays an important role in WSNs. To alleviate unnecessary energy wastage and improve network performance, we consider both energy efficiency and coverage rate for WSNs. In this paper, we present a novel coverage control algorithm based on Particle Swarm Optimization (PSO). Firstly, the sensor nodes are randomly deployed in a target area and remain More >

  • Open Access


    An Asynchronous Clustering and Mobile Data Gathering Schema Based on Timer Mechanism in Wireless Sensor Networks

    Jin Wang1,2,3, Yu Gao3, Wei Liu3, Wenbing Wu1, Se-Jung Lim4,*

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 711-725, 2019, DOI:10.32604/cmc.2019.05450

    Abstract Recently, Wireless sensor networks (WSNs) have become very popular research topics which are applied to many applications. They provide pervasive computing services and techniques in various potential applications for the Internet of Things (IoT). An Asynchronous Clustering and Mobile Data Gathering based on Timer Mechanism (ACMDGTM) algorithm is proposed which would mitigate the problem of “hot spots” among sensors to enhance the lifetime of networks. The clustering process takes sensors’ location and residual energy into consideration to elect suitable cluster heads. Furthermore, one mobile sink node is employed to access cluster heads in accordance with More >

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