Academic literature on the topic 'Wireless nodes'

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Journal articles on the topic "Wireless nodes"

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Banimelhem, Omar, and Shifa’a Bani Hamad. "A Proactive Charging Approach for Extending the Lifetime of Sensor Nodes in Wireless Rechargeable Sensor Networks." Journal of Sensor and Actuator Networks 14, no. 2 (2025): 26. https://doi.org/10.3390/jsan14020026.

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Although wireless sensor networks (WSNs) have a wide range of applications, their efficient utilization is still limited by the sensor node battery life. To overcome this issue, wireless power transfer technology (WPT) has recently been used to wirelessly charge sensor nodes and extend their lifespan. This technique paved the way to develop a wireless rechargeable sensor network (WRSN) in which a mobile charger (MC) is employed to recharge the sensor nodes. Several wireless charging technologies have been proposed in this field, but they are all tied up in two classes: periodic and on-demand s
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Chen, Young Long, Yung Chi Chang, and Yu Ling Zeng. "An Opportunistic Large Array Concentric Geographic Routing Algorithm with a Relay Node in Wireless Sensor Networks." Applied Mechanics and Materials 764-765 (May 2015): 838–42. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.838.

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Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source n
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Loubet, Gaël, Alexandru Takacs, Ethan Gardner, Andrea De Luca, Florin Udrea, and Daniela Dragomirescu. "LoRaWAN Battery-Free Wireless Sensors Network Designed for Structural Health Monitoring in the Construction Domain." Sensors 19, no. 7 (2019): 1510. http://dx.doi.org/10.3390/s19071510.

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This paper addresses the practical implementation of a wireless sensors network designed to actualize cyber-physical systems that are dedicated to structural health monitoring applications in the construction domain. This network consists of a mesh grid composed of LoRaWAN battery-free wireless sensing nodes that collect physical data and communicating nodes that interface the sensing nodes with the digital world through the Internet. Two prototypes of sensing nodes were manufactured and are powered wirelessly by using a far-field wireless power transmission technique and only one dedicated RF
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Theodore, Kingslin M. "Broadcast efficiency in mobile ad hoc networks: Dynamic methods and constant approximation." i-manager's Journal on Mobile Applications and Technologies 10, no. 2 (2023): 1. http://dx.doi.org/10.26634/jmt.10.2.20437.

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The term "MANET," which stands for "Mobile Adhoc Network," refers to an ad hoc wireless network incorporating routing mechanism atop an ad hoc link layer network. These networks consist of wirelessly linked mobile nodes that selfconfigure and self-heal. Due to frequent changes in network architecture, MANET nodes have the freedom to move. Each node in the network serves as a router, forwarding traffic to specified nodes. Broadcast algorithms in wireless ad hoc networks typically follow two main approaches: static and dynamic. In the static approach, local algorithms proactively determine each
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Okba, Abderrahim, Dominique Henry, Alexandru Takacs, and Hervé Aubert. "Autonomous RFID Sensor Node Using a Single ISM Band for Both Wireless Power Transfer and Data Communication." Sensors 19, no. 15 (2019): 3330. http://dx.doi.org/10.3390/s19153330.

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This paper addresses the implementation of autonomous radiofrequency identification sensor nodes based on wireless power transfer. For size reduction, a switching method is proposed in order to use the same frequency band for both supplying power to the nodes and wirelessly transmitting the nodes’ data. A rectenna harvests the electromagnetic energy delivered by the dedicated radiofrequency source for charging a few-mF supercapacitor. For supercapacitors of 7 mF, it is shown that the proposed autonomous sensor nodes were able to wirelessly communicate with the reader at 868 MHz for 10 min with
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Li, Qiangyi, and Ningzhong Liu. "Monitoring Area Coverage Based on Adjusting Node Spacing in Mixed Underwater Mobile Wireless Sensor Networks." Wireless Communications and Mobile Computing 2022 (November 4, 2022): 1–23. http://dx.doi.org/10.1155/2022/5001662.

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Wireless sensor nodes have the characteristics of small size, light weight, simple structure, and limited energy. They are random during deployment in the monitoring area, and the location of nodes is uncertain after deployment. It is easy to have uneven node distribution, resulting in dense nodes in some areas and sparse nodes in some areas. In the area with dense nodes, the monitoring area is covered repeatedly due to the distance between nodes which is too close. In the area with sparse nodes, the problem of covering blind areas appears due to the distance between nodes which is too far. Ai
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Okuri, Masahiro, and Hiroaki Higaki. "Concurrent Data Message Transmissions for Interference of Illegal Overhearing in Wireless Sensor Networks." MATEC Web of Conferences 210 (2018): 03011. http://dx.doi.org/10.1051/matecconf/201821003011.

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In wireless sensor networks, data messages containing sensor data achieved by a sensor module in a wireless sensor node is transmitted to a stationary wireless sink node along a wireless multihop transmission route in which wireless sensor nodes themselves forward the data messages. Each intermediate wireless sensor node broadcast data messages in its wireless transmission range to forward them to its next-hop intermediate wireless sensor node. Hence, eavesdropper wireless nodes within the wireless transmission range easily overhear the data messages. In order to interfere with the eavesdroppe
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Yang, Chun Xi, Chao Sun, Sha Fan, and Ning Wu. "Cluster-Gossip Based Distributed Kalman Consensus Filter Algorithm with Energy Efficiency." Applied Mechanics and Materials 667 (October 2014): 291–99. http://dx.doi.org/10.4028/www.scientific.net/amm.667.291.

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According to these constrains that wireless sensor networks are composed of many wireless nodes with limited power, a new energy efficient cluster-based distributed consensus kalman filtering algorithm is proposed in this paper. In this algorithm, each cluster contains a cluster-head and some member nodes where the cluster-head is used to fuse data which come from member nodes and consensus process between neighbor cluster-head. This clustering method divide wireless sensor networks into two classes of networks: cluster units network and cluster-heads network. In this way, numbers of informati
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S. Rijab, Khalida, and Saif Muqdad Sadiq. "Implementing a reconfigurable Internet of Things Nodes using non-IP network based on Wireless Sensor Network." Diyala Journal of Engineering Sciences 12, no. 4 (2019): 60–66. http://dx.doi.org/10.24237/djes.2019.12406.

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The idea of using wireless sensor network (WSN) let’s as to upload multiple node’s data over one IP, to reduce the number of needed IP multiple nodes, it’s necessary to provide a backup sink for the data to let the sensors send their data via the link B when the link A is down. Therefore a web-portal has been designed with a debug terminal for the proposed IoT system to let us reconfigure the nodes and change the path of the wireless sensor network data. Two sink-nodes has been implemented for the proposed system, first one (A) for major data path that collected the data from sensors and uploa
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Kurabayashi, Ryota, and Hiroaki Higaki. "Gradual Route Modification in Mobile Wireless Multihop Network with Combination of Carrying and Forwarding." WSEAS TRANSACTIONS ON COMMUNICATIONS 22 (August 2, 2023): 97–103. http://dx.doi.org/10.37394/23204.2023.22.8.

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In a wireless multihop network, data messages are transmitted along a wireless multihop transmission route composed of a sequence of intermediate wireless nodes forwarding the data messages. However, it is difficult to detect a wireless multihop transmission route from a source wireless node to a destination one if a wireless nodes are not evenly distributed and there are some areas in which wireless nodes are sparsely distributed. Some methods have been proposed to solve this problem by combination of forwarding data messages between neighbor intermediate wireless nodes as in a usual wireless
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Dissertations / Theses on the topic "Wireless nodes"

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Nicot, John. "Remote Powering of Wireless IoT Nodes." Thesis, Bordeaux, 2021. http://www.theses.fr/2021BORD0061.

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Le monde connaît un intérêt croissant pour l'IoT (Internet des Objets) et de l'écosystème qui y est rattaché. Afin de minimiser l'impact environnemental et les coûts de maintenance rattachés à ces noeuds, il est nécessaire de les alimenter en excluant l'usage de piles et des batteries, pour des coûts environnementaux et de maintenance. Cette thèse a pour vocation d'étudier la faisabilité architecturale de tels noeuds et leur robustesse, afin d'en tirer des conclusions sur d'éventuelles techniques et méthodes d'implémentation qui seront nécessaires à leur mise en oeuvre dans le monde réel. Elle
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Wang, Yongwei. "Enhancing Node Cooperation in Mobile Wireless Ad Hoc Networks with Selfish Nodes." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_diss/602.

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In Mobile Ad Hoc Networks (MANETs), nodes depend on each other for routing and forwarding packets. However, to save power and other resources, nodes belonging to independent authorities may behave selfishly, and may not be willing to help other nodes. Such selfish behavior poses a real threat to the proper functioning of MANETs. One way to foster node cooperation is to introduce punishment for selfish nodes. Based on neighbor-monitoring techniques, a fully distributed solution to detect, punish, and re-admit selfish nodes, is proposed here. This solution provides nodes the same opportunity to
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Gregori, Casas Maria. "Transmission strategies for wireless energy harvesting nodes." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/275983.

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Over the last few decades, transistor miniaturization has enabled a tremendous increase in the processing capability of commercial electronic devices, which, combined with the reduction of production costs, has tremendously fostered the usage of the Information and communications Technologies (ICTs) both in terms of number of users and required data rates. In turn, this has led to a tremendous increment in the energetic demand of the ICT sector, which is expected to further grow during the upcoming years, reaching unsustainable levels of greenhouse gas emissions as reported by the European Cou
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Koyuncu, Hakan. "Indoor localisation by using wireless sensor nodes." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/18044.

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This study is devoted to investigating and developing WSN based localisation approaches with high position accuracies indoors. The study initially summarises the design and implementation of localisation systems and WSN architecture together with the characteristics of LQI and RSSI values. A fingerprint localisation approach is utilised for indoor positioning applications. A k-nearest neighbourhood algorithm (k-NN) is deployed, using Euclidean distances between the fingerprint database and the object fingerprints, to estimate unknown object positions. Weighted LQI and RSSI values are calculate
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Vatankhah, Varnoosfaderani Mohammad. "Efficient Antennas for Wearable Wireless Sensor Nodes." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/366335.

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Wearable wireless sensors are a part of human life in the future for applications such as healthcare, sports, navigating, security etc. The number of wearable wireless sensors for fitness and healthcare applications will reach 90 million shipments by 2017 base on ABI research report [1]. The IEEE Standard 802.15.6 for local and metropolitan area networks, part 15.6, “Wireless Body Area Networks” was published on February 2012 to specify the short range wireless communication in the vicinity or inside of the human body [2]. This shows the importance of research needed to maximize the quality of
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Kang, Kai. "Multi-Source Energy Harvesting for Wireless Sensor Nodes." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102810.

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The past few years have seen an increasing interest in the development of wireless sensor networks. But the unsatisfactory or limited available energy source is one of the major bottlenecks which are limiting the wireless sensor technology from mass deployment. Ambient energy harvesting is the most promising solution towards autonomous sensor nodes by providing low cost, permanent, and maintenance-free energy source to wireless sensor nodes. In this paper, we first invested available energy source such as solar, vibration, thermal and other potential energy sources, and described the mathemati
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Tan, Wilson M. "Noise-sensing energy-harvesting wireless sensor network nodes." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/79557/.

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Noise pollution is becoming an increasing concern in many urban regions all over the world. An important step in fighting and mitigating noise pollution is its quantification. Wireless sensor networks (WSNs) can potentially help with these efforts, as they enable the simultaneous and continuous gathering of data over wide geographic regions. The need to replace batteries however makes the maintenance of such physically very large networks impractical. As an alternative to batteries, noise-sensing WSNs could also be powered by energy harvesting. While energy-harvesting WSNs have been demonstrat
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Imran, Muhammad. "Investigation of Architectures for Wireless Visual Sensor Nodes." Licentiate thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-14388.

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Wireless visual sensor network is an emerging field which has proveduseful in many applications, including industrial control and monitoring,surveillance, environmental monitoring, personal care and the virtual world.Traditional imaging systems used a wired link, centralized network, highprocessing capabilities, unlimited storage and power source. In manyapplications, the wired solution results in high installation and maintenancecosts. However, a wireless solution is the preferred choice as it offers lessmaintenance, infrastructure costs and greater scalability.The technological developments
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Kothapalli, Hindu. "Localization of nodes in wired and wireless networks." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Kothapalli_09007dcc806b7c59.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed August 25, 2009) Includes bibliographical references.
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Mages, Tobias. "Power analysis and optimization of wireless sensor nodes." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396825.

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Wireless sensors offer the possibility to monitor critical parameters in our environment, which enables applications to optimize processes or anticipate and detect critical events. Environmental monitoring and predictive maintenance of non-electric systems are two important application domains that have different computational requirements but similar power constraints. In this thesis is presented an iterative wireless sensor node design that supports both applications equally well. In particular, the platform is useful for building demonstrators and evaluating proof of concept designs because
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Books on the topic "Wireless nodes"

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Huang, Fan. Wu xian chuan gan qi wang luo ji shu ji ying yong yan jiu: WUXIAN CHUANGANQI WANGLUO JISHU JI YINGYONG YANJIU. Zhongguo shui li shui dian chu ban she, 2014.

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Singh, Madhusudan. Node-to-Node Approaching in Wireless Mesh Connectivity. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0674-7.

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Zhang, Xue, Cihan Tepedelenlioglu, Mahesh Banavar, and Andreas Spanias. Node Localization in Wireless Sensor Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-01683-7.

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Bornemann, Sarah. Development of a Self-Sufficient, Wireless Sensor Node Using the Outer FML Layer as an Antenna. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-70648-6.

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Eidaks, Jānis. RF Powering of Autonomous Wireless Sensor Network Nodes. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227868.

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The Thesis is dedicated to the experimental study of RF powering of autonomous wireless sensor network nodes. The impact of powering signal properties on the RF-DC conversion efficiency and wireless power transfer performance is investigated. The impact of average input power level, peak-to-average power ratio (PAPR) level, different modulation types, spectral properties of signals, numbers of sub-carriers, and bandwidth are examined. The most popular RF-DC converter topologies and off-the-shelf solutions in the sub-GHz frequency range have been studied in detail.
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Kemedi, Chandra Shekar. Relay Nodes in Big-Data Wireless Sensor. GRIN Verlag GmbH, 2014.

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Industrial Wireless Sensor Network (IWSN) Market. 24marketreports, 2015.

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Vinel, Alexey, Marion Berbineau, Alain Pirovano, and Benoit Hilt. Networking Simulation for Intelligent Transportation Systems: High Mobile Wireless Nodes. Wiley & Sons, Incorporated, John, 2017.

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Networking Simulation for Intelligent Transportation Systems: High Mobile Wireless Nodes. Wiley & Sons, Incorporated, John, 2017.

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Vinel, Alexey, Marion Berbineau, Alain Pirovano, and Benoit Hilt. Networking Simulation for Intelligent Transportation Systems: High Mobile Wireless Nodes. Wiley & Sons, Incorporated, John, 2017.

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Book chapters on the topic "Wireless nodes"

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Jin, Xi, Changqing Xia, Chi Xu, and Dong Li. "Mixed-Criticality Scheduling with Multiple Radio Interfaces." In Mixed-Criticality Industrial Wireless Networks. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8922-3_5.

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AbstractIn this chapter, we introduce the nodes with multiple radio interfaces (MRI) into mixed-criticality industrial wireless networks. When an error occurs or transmission demand changes, the MRI nodes can switch their transmission mode, changing to a high-criticality configuration to meet the system’s new demand. Hence, we first propose a heterogeneous MRI system model. Based on this model, we propose a Slot Analyzing Algorithm (SAA) that guarantees system schedulability by reallocating slots for each node after replacing conflict nodes with MRI nodes. By considering both system schedulabi
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Chaumette, Serge, and Damien Sauveron. "Wireless Sensor Nodes." In Secure Smart Embedded Devices, Platforms and Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7915-4_14.

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Vieira, Marcos A. M., Adriano B. da Cunha, and Diógenes C. da Silva. "Designing Wireless Sensor Nodes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11796435_12.

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Zheng, Pengkun, Yan Wen, Ming Chen, and Geng Chen. "attr2vec: Learning Node Representations from Attributes of Nodes." In Wireless and Satellite Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69072-4_44.

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Pillutla, Laxminarayana S., and Vikram Krishnamurthy. "Data Gathering in Correlated Wireless Sensor Networks with Cooperative Transmission Data Gathering in Correlated Wireless Sensor Networks with Cooperative Transmission." In Wireless Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch405.

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This chapter considers the problem of data gathering in correlated wireless sensor networks with distributed source coding (DSC), and virtual multiple input and multiple output (MIMO) based cooperative transmission. Using the concepts of super and sub modularity on a lattice, we analytically quantify as how the optimal constellation size, and optimal number of cooperating nodes, vary with respect to the correlation coefficient. In particular, we show that the optimal constellation size is an increasing function of the correlation coefficient. For the virtual MIMO transmission case, the optimal
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Foukia, Noria, and Nathan Lewis. "How Trust and Reputation-Based Collaboration Impact Wireless Sensor Network Security." In Wireless Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch206.

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Like wired network security, wireless sensor network (WSN) security encompasses the typical network security requirements which are: confidentiality, integrity, authentication, non-repudiation and availability. At the same time, security for WSNs differs from traditional security designed for classical wired networks in many points because of the new constraints imposed by WSN technology. Many aspects are due to the limited resources (memory space, CPU …) and infrastructure-less property of WSNs. Therefore traditional security mechanisms cannot be applied directly and WSNs are more prone to ex
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Swamy, Tata Jagannadha, and Garimella Rama Murthy. "Cost Minimization of Sensor Placement and Routing in Wireless Sensor Networks." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch062.

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Wireless Sensor Nodes (WSNs) are small in size and have limited energy resources. Recent technological advances have facilitated widespread use of wireless sensor networks in many real world applications. In real life situations WSN has to cover an area or monitor a number of nodes on a plane. Sensor node's coverage range is proportional to their cost, as high cost sensor nodes have higher coverage ranges. The main goal of this paper is to minimize the node placement cost with the help of uniform and non-uniform 2D grid planes. Authors propose a new algorithm for data transformation between st
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Meghanathan, Natarajan. "Impact of the Structure of the Data Gathering Trees on Node Lifetime and Network Lifetime in Wireless Sensor Networks." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0486-3.ch007.

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We analyze the impact of the structure of the Data Gathering (DG) trees on node lifetime (round of first node failure) and network lifetime (minimum number of rounds by which the network gets either disconnected due to node failures or the fraction of coverage loss reaches a threshold) in wireless sensor networks through extensive simulations. The two categories of DG trees studied are: the Bottleneck Node Weight-Based (BNW-DG) trees and Bottleneck Link Weight-Based (BLW-DG) trees. The BNW-DG trees incur a smaller diameter and a significantly larger fraction of nodes as leaf nodes: thus, prote
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Virendra, Mohit, Qi Duan, and Shambhu Upadhyaya. "Detecting Cheating Aggregators and Report Dropping Attacks in Wireless Sensor Networks." In Wireless Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch305.

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This chapter focuses on an important, challenging and yet largely unaddressed problem in Wireless Sensor Networks (WSN) data communication: detecting cheating aggregators and malicious/selfish discarding of data reports en route to the Base Stations (BSs). If undetected, such attacks can significantly affect the performance of applications. The goal is to make the aggregation process tamper-resistant so that the aggregator cannot report arbitrary values, and to ensure that silent discarding of data reports by intermediate en-route nodes is detected in a bounded fashion. In our model, individua
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Lin, Cheng-Min, and Tzong-Jye Liu. "Data Communications Inside Vehicular Environments." In Wireless Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch320.

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ZigBee is based on IEEE 802.15.4 which specifies the physical layer and medium access control (MAC) for low-cost and low-power LR-WPAN. The technology can be applied in intelligent key, A/C operation and steering wheel inside vehicles. There are two types of devices in ZigBee, FFD and RFD. A FFD can communicate with RFDs and other FFDs, while a RFD can only communicate with a FFD. In ZigBee physical layer, it follows IEEE 802.15.4 standard and operates in unlicensed RF worldwide (2.4GHz global, 915MHz Americas or 868 MHz Europe). A superframe contained an active portion and an inactive portion
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Conference papers on the topic "Wireless nodes"

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Medenica, Igor, Miloš Jovanović, Slobodan Subotić, and Dragan Lazić. "Implementation of ZigBee technology in the process of sensor calibration in wireless sensor network systems." In 11th International Scientific Conference on Defensive Technologies - OTEX 2024. Military Technical Institute, Belgrade, 2024. http://dx.doi.org/10.5937/oteh24120m.

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The compatibility of sensor functionality requires periodic calibration in an accredited laboratory. The calibration process involves temporarily disconnecting the sensor from operation, performing necessary preparations, and determining the sensor's condition. As a solution to improving the calibration process, the use of mesh networks is presented to avoid disconnecting sensors from active states. Using ZigBee technology, all sensors are represented through nodes with specific functions in the network. Information exchange occurs wirelessly among all nodes in the network, which are involved
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LOUBET, GAËL, ALASSANE SIDIBE, ALEXANDRU TAKACS, JEAN-PAUL BALAYSSAC, and DANIELA DRAGOMIRESCU. "BATTERY-FREE STRUCTURAL HEALTH MONITORING SYSTEM FOR CONCRETE STRUCTURES." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36246.

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This paper presents a cyber-physical system based on a wireless sensor network dedicated to structural health monitoring of reinforced concretes throughout their lifetime. This cyber-physical system is intended to implement a communicating reinforced concrete. Two types of nodes compose this WSN. The sensing node is fully wireless, can measure various parameters (such as temperature, relative humidity, mechanical strain, or resistivity), is battery-free, and is wirelessly and remotely powered and controlled via a radiative electromagnetic power transfer system by the second type of nodes, the
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Zhu, Zhenhuan, S. Olutunde Oyadiji, and Samir Mekid. "Middleware Design for Energy Harvester of Wireless Sensor Nodes." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87810.

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The energy harvesting for wireless sensor nodes is one of the effective methods to extend the lifespan of wireless sensor networks. The paper firstly analyzes the power requirement of a sensor node, and surveys the energy output for typical energy transducers working indoor. In general, energy harvested from the indoor environment is not matched with the power requirement of wireless sensor nodes. The harvested energy indoor is generally less than the required energy. Therefore, we propose a solution to design a middleware for the dynamic power management of a wireless sensor node. The impleme
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LOUBET, GAËL, ALASSANE SIDIBE, ALEXANDRU TAKACS, and DANIELA DRAGOMIRESCU. "BATTERY-FREE BLUETOOTH LOW ENERGY SENSING NODES FOR STRUCTURAL HEALTH MONITORING OF CONCRETES." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36247.

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This paper presents a Bluetooth Low Energy sensing node, part of a wireless sensor network dedicated to the deployment of a cyber-physical system for the structural health monitoring of reinforced concretes throughout their life. This fully wireless sensing node is designed to measure temperature and relative humidity, and wirelessly transmit the collected data in its network, as well as to be energy autonomous. For that, it is battery-free, able to cold-start, and wirelessly and remotely powered -and controlledover several meters by communicating nodes (other part of the network, assuring the
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M, Mani Mehala, Mary Nisha D, and Evelyn Tabitha E. "Wireless Sensor Network Attack Prediction Using AI." In 7th International Conference on Recent Innovations in Computer and Communication (ICRICC 23). International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/ucrn7681/icricc23p1.

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Wireless sensor network has attracted significant attention in research and development due to its tremendous applications in medical, military and defence, medical, environmental, industrial, infrastructure protection, and commercial applications to enable to interact with each other controlled remotely. A Wireless Sensor Network (WSN) has wide applications such as environmental monitoring and tracking of the target nodes for communication. The sensor nodes are equipped with wireless interfaces used for communication between the nodes and another network. Wireless Sensor Network suffers from
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Ros, Montserrat, Matthew D’Souza, and Matthew Wallace. "Biometric Monitoring of Footstep and Heart Rate Using Wireless Inertial Sensors." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87186.

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Inertial sensors are widely used for a variety of biomedical applications, such as human activity monitoring. We present a wireless biomedical monitoring network used for measuring footstep parameters and the heart rate of a person. The wireless biomedical monitoring network uses inertial sensors to record and monitor heart rate and consists of multiple monitoring nodes placed on a person, that communicate with a base node. The monitoring nodes placed on a person’s ankle measure the acceleration generated during a footstep. By analysing this data, we are able to determine the average footstep
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Gholami, Mohammad, and Robert W. Brennan. "An Agent-Based System to Simulate Dynamic and Noisy Ambience of Industrial Wireless Sensor Networks." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46797.

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In this paper, we propose a multi-agent systems approach for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on the development of a set of simulation models to support our distributed management approach for tracking mobile nodes in a large-scale industrial wireless sensor network. Our simulation models build on models and concepts from the literature on wireless sensor networks and wireless communication, with adaptations to address the needs of an industrial environment. An example of mobile node
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Guo, F., H. Zhou, J. Wei, and Z. Wei. "Design and Production of Wireless Micro Sensor Node Based on Printed Electronics Technology." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86648.

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With the wide applications of Internet of Things technology, the design and fabrication of small size sensor nodes with high sensitivity at low cost will be the main direction of development. In this paper, the important design requirements and design drivers for the manufacturing of wireless micro sensor node based on printed electronics technology are analysed and reviewed. The micro-sensor nodes fabricated can be powered with solar cell. The production cost could be effectively reduced and the life of the system is extended. The sensor nodes could be widely used for real-time monitoring in
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Rynders, Mark D., David R. Loker, and John T. Roth. "Remote Tool Health Monitoring Using Wireless Sensors on Rotational Machinery." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7335.

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A key concern in modern day manufacturing is developing a reliable method for monitoring tool health. This involves not only establishing a mathematical method for deriving tool failure, but also developing a reliable method for collecting and transmitting this information. This paper presents a reliable wireless network for collecting, analyzing, and predicting tool failure. The wireless network consists of three remote nodes and one coordinator node. Each remote node is mounted on a 1″ R8 mill tool holder and consists of three major components: an accelerometer, microcontroller, and wireless
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Praticò, Filippo Giammaria, Rosario Fedele, Sara Pizzi, and Giuseppe Araniti. "INTELLIGENT TRANSPORT SYSTEMS EXPLOITING SMART WIRELESS SENSING NODES." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.624.

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Future smart cities that will exploit the forthcoming fifth-generation (5G) network will strongly contribute to the development of intelligent transport systems, which will be able to effectively manage changing infrastructural conditions, and to timely exchange crucial information with different stakeholders to improve sustainability and safety. To this end, smart wireless sensing nodes can be effectively exploited. Consequently, the objectives of this study are: 1) to describe the setup and the main potentialities of a wireless sensing system designed for monitoring the environmental and str
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Reports on the topic "Wireless nodes"

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Kevin L Young and Alan M Snyder. Evaluation of Rugged Wireless Mesh Nodes for Use In Emergency Response. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/924509.

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Agarwal, Vivek, and Yanliang Zhang. Integration of Thermoelectric Generator and Wireless Sensor Node Simulators. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1364497.

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Agarwal, Vivek, Shelton Jacinto, and Yanliang Zhang. Thermoelectric Generator Powered Wireless Sensor Node Prototype for Nuclear Applications. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1467405.

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León, Carlos. Digital Operational Resilience Act (DORA). FNA, 2023. http://dx.doi.org/10.69701/deff9232.

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One of the key lessons of the 2007-2008 global financial crisis is the importance of financial market infrastructures (FMIs) as a pillar of financial stability. Before, the role of financial market infrastructures, namely the provision of trading, clearing, settling, recording, and compressing services for transactions between financial institutions (FIs) was often taken for granted. This was reflected in FMIs having often been referred to as the financial system’s plumbing, including by the Federal Reserve’s 14th chairman (Bernanke, 2011)—a clear reference to the critical yet concealed import
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Tzonev, Nick. PR-396-163702-R02 Petroleum Pipeline Polymer Absorption Sensor Leak Detection Cable Phase 2. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012183.

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The goal of this Project is to validate and commercialize Syscor's External Leak Detection System (ELDS) cable and wireless sensor node. Syscor's ELDS cable system will be able to detect leaks smaller than 5 barrels (bbl) and will be suitable for deployment in new construction projects as well as existing underground pipelines. The capability of Syscor's ELDS to be plowed in place at a safe distance from the pipeline differentiates the solution from competing approaches as it is more economically viable for existing pipelines. The proposed leak detection cable will be able to recognize leaks t
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Agarwal, Vivek, Joseph Richardson, and Yanliang Zhang. Wireless Sensor Node Power Profiling Based on IEEE 802.11 and IEEE 802.15.4 Communication Protocols. Modeling and Simulation. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1245527.

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Bachmayer, Ralf, and Nicolas Nowald. Coordinated Multi-Domain Persistent Observation Systems at the Ligurian Slope, Western Mediterranean Sea - Cruise No. AL534, 21.2.2020 – 3.3.2020, La Seine sur Mer (France) – Malaga (Spain), COMPEL. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2024. https://doi.org/10.3289/cr_al534.

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After loading on the 21. February the RV ALKOR left the La Seine sur Mer on the morning of the 22. February toward the first operating area at the St. Tropez canyon in the Ligurian Sea. ALKOR arrived in the early afternoon and the ROV MARUM SQUID was lowered, carrying a seafloor optical observation node for short range optical underwater communication and data transmission tests under various environmental conditions. The following day two more ROV dives were performed, ROV MARUM SQUID dive #48 was dedicated to an optical survey of the area of operation (~100m2) with the ROVs standard camera s
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