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1

Navya, B., and M. Ankitha. "Wireless Sensor Networks." International Journal of Research Publication and Reviews 5, no. 3 (2024): 3875–77. http://dx.doi.org/10.55248/gengpi.5.0324.0767.

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Choi, Woo-Yong. "Combined Sweeping and Jumping Method to Enhance Node Insertion Algorithm for Wi-Fi Sensor Networks." Applied Sciences 14, no. 17 (2024): 7762. http://dx.doi.org/10.3390/app14177762.

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Two dominant driving forces for evolving communication technologies in the current society have been the proliferation of wireless access networks to the Internet and the broadbandization of access and infrastructure networks. Through these evolutions of communication technologies, high-resolution contents are instantly delivered to wireless devices such as mobile phones, wireless tablets, and headsets. Recently, wireless sensor networks, where up to 1000 low-power sensors are wirelessly connected to each other, have been created and connected to the Internet, which presents a new challenge of
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Habibi, Payman, Goran Hassanifard, Abdulbaghi Ghaderzadeh, and Arez Nosratpour. "Offering a Demand-Based Charging Method Using the GBO Algorithm and Fuzzy Logic in the WRSN for Wireless Power Transfer by UAV." Journal of Sensors 2023 (May 2, 2023): 1–19. http://dx.doi.org/10.1155/2023/6326423.

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An extremely high number of geographically dispersed, energy-limited sensor nodes make up wireless sensor networks. One of the critical difficulties with these networks is their network lifetime. Wirelessly charging the sensors continuously is one technique to lengthen the network’s lifespan. In order to compensate for the sensor nodes’ energy through a wireless medium, a mobile charger (MC) is employed in wireless sensor networks (WRSN). Designing a charging scheme that best extends the network’s lifetime in such a situation is difficult. In this paper, a demand-based charging method using un
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THATIPAMULA RAJU, THATIPAMULA RAJU, and D. DEEPIKA RANI D. DEEPIKA RANI. "Achieving Network Level Privacy in Wireless Sensor Networks." International Journal of Scientific Research 2, no. 8 (2012): 183–87. http://dx.doi.org/10.15373/22778179/aug2013/61.

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Chen, Tzung-Shi, Jen-Jee Chen, Xiang-You Gao, and Tzung-Cheng Chen. "Mobile Charging Strategy for Wireless Rechargeable Sensor Networks." Sensors 22, no. 1 (2022): 359. http://dx.doi.org/10.3390/s22010359.

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In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (MR) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, MR needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for MR t
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Varghese, Liji. "Energy Efficient Sensory Data Collection in Wireless Sensor Networks." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 914–19. https://doi.org/10.21275/sr21609151823.

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7

Swapna, Bamuli. "Scalable Network Architectures for Distributed Wireless Sensor Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem36083.

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Advances in sensor era and laptop networks have enabled allotted sensor networks (DSNs) to evolve from small clusters of large sensors to big swarms of micro sensors, from constant sensor nodes to mobile nodes, from stressed out communications to wireless communications, from static community topology to dynamically converting topology. To layout those networks, the factors needed to be considered are the coverage place, mobility, power intake, communication Skills and so on. In this study a survey is given regarding the analysis of AC structure and DHC shape, flat tree and DG community, senso
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Prof., S. R. Deshmukh*1 Prof. P. P. Chavhan2 Prof. M. M. Patil3 &. Prof. P. V. Thakare4. "APPLICATION OF WIRELESS SENSOR NETWORKS IN AGRICULTURE: A REVIEW." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 13, 2018): 133–38. https://doi.org/10.5281/zenodo.1485394.

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In recent years, wireless sensor networks (WSNs) have received a lot of attention in various research areas. The useful applications of WSN begin by collecting, storing and sharing the detected data. WSN has been used for many applications such as area surveillance, health care monitoring, environmental / land detection, industrial monitoring, agriculture etc. Wireless Sensor Networks (WSNs) consists of different nodes which process and communicate the information collected from different sensors. The wireless sensor nodes send the data wirelessly to a central server, which collects the data,
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Ahmed, Ayam Tawfeek, Ahmed Noori Rashid, and Khalid Shaker. "Localization in Wireless Sensor Network." Webology 19, no. 1 (2022): 692–704. http://dx.doi.org/10.14704/web/v19i1/web19049.

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The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locations for all sensors. Simulating the BOA with using number of sensors from 25 to 150 sensors and number of the anchor nodes. The distance between sensors and anchors measures by Received Signal Strength (RSS) so, this strategy is known as RSS-BOA. Th
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Chaczko, Zenon, Christopher Chiu, Shahrzad Aslanzadeh, and Toby Dune. "Sensor-Actor Network Solution for Scalable Ad-hoc Sensor Networks." International Journal of Electronics and Telecommunications 58, no. 1 (2012): 55–62. http://dx.doi.org/10.2478/v10177-012-0008-4.

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Sensor-Actor Network Solution for Scalable Ad-hoc Sensor NetworksArchitects of ad-hoc wireless Sensor-Actor Networks (SANETS) face various problems and challenges. The main limitations relate to aspects such as the number of sensor nodes involved, low bandwidth, management of resources and issues related to energy management. In order for these networks to be functionally proficient, the underlying software system must be able to effectively handle unreliable and dynamic distributed communication, power constraints of wireless devices, failure of hardware devices in hostile environments and th
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Samara, Ghassan, Mohammad Hassan, and Yahya Zayed. "An Intelligent Vice Cluster Head Election Protocol in WSN." International Journal of Advances in Soft Computing and its Applications 13, no. 3 (2021): 202–22. http://dx.doi.org/10.15849/ijasca.211128.14.

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Wireless sensor networks (WSNs) has a practical ability to link a set of sensors to build a wireless network that can be accessed remotely; this technology has become increasingly popular in recent years. Wi-Fi-enabled sensor networks (WSNs) are used to gather information from the environment in which the network operates. Many obstacles prevent wireless sensor networks from being used in a wide range of fields. This includes maintaining network stability and extending network life. In a wireless network, sensors are the most essential component. Sensors are powered by a battery that has a fin
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Chen, Bowen. "Wireless Communication Chip Designs: analysis of the Wireless Integrated Network Sensors." Highlights in Science, Engineering and Technology 70 (November 15, 2023): 580–87. http://dx.doi.org/10.54097/hset.v70i.13989.

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With the development of wireless technology, wireless integrated network sensor is a new form of sensor network. It enables highly efficient data acquisition and transmission by connecting the sensor nodes wirelessly. The purpose of this study is to investigate the basic principles and techniques of wireless integrated network sensors, analyze their application fields, and conduct experimental studies to verify their performance. This study first introduces the basic principles of wireless integrated network sensors, including wireless communication, sensor nodes, and network topology. Then, r
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Wang, Yuqiao. "Wireless Sensor Networks Overview." Academic Journal of Science and Technology 6, no. 2 (2023): 18–19. http://dx.doi.org/10.54097/ajst.v6i2.9437.

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Wireless sensor networks have become widely used for their high accuracy, safety, and reliability, particularly in military applications where information is critical to victory. Chinese scholars have conducted research on wireless sensor technology, with the aim of reducing costs, meeting low power requirements, and adapting to environmental changes to enhance China's military strength. However, data transmission speeds are slower and signal strength weaker compared to wired networks due to physical and technical limitations, which may result in slower or even interrupted data and file transf
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P., Renuka Devi. "Underwater Communication Using Wireless Sensor Networks." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 2264–75. http://dx.doi.org/10.37200/ijpr/v24i5/pr201925.

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15

Shokrzadeh, Hamid, M. R. Majma, A. Movassagh, and M. Saheb. "Routing Security in Wireless Sensor Networks." Lecture Notes on Software Engineering 3, no. 4 (2015): 303–7. http://dx.doi.org/10.7763/lnse.2015.v3.209.

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16

Chaudhary, Khyati, and Gitanjali Shinde. "Group Authentication in Wireless Sensor Networks." International Journal of Scientific Engineering and Research 3, no. 7 (2015): 213–15. https://doi.org/10.70729/ijser15363.

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17

Dadhirao, Chandrika, and Ravi Sankar Sangam. "Attenuate the Network Lifetime in Wireless Sensor Networks." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 12 (2022): 59–64. http://dx.doi.org/10.17762/ijritcc.v10i12.5886.

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Wireless Sensor Networks are one of the well-established and as well as im- proving areas, which have a prominent role in many existing technologies. The day-to-day advancement in this field made a direction for growing low-power, low-cost, along with multi functioning of the sensors. This collective formation of the system with motes or sensors is Wireless Sensor Network (WSN). WSNs follow the principle of ”EAAs” stands for Everyone, Anywhere, Anytime. The nodes in the network have certain limitations in terms of memory, power, etc. Clustering the nodes in the network is an efficient and most
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18

M., Logambal* Dr. V. Thiagarasu. "APPLICATIONS OF WIRELESS SENSOR NETWORKS: AN OVERVIEW." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 3 (2017): 35–41. https://doi.org/10.5281/zenodo.345688.

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A wireless sensor network is a type of wireless network consist a collection of tiny device called sensor node. Sensor node has a resource constraint means battery power, storage and communication capability. These sensor nodes are set with radio interface with which they communicated with one another to form a network. Wireless sensor network has very necessary application like remote has remote environmental monitoring and target tracking. The goal of our survey is to present a comprehensive review of the recent literature on various aspects of WSN and also discuss how wireless sensor networ
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19

Ramezani, Tayebeh, and Tahereh Ramezani. "A Distributed Method to Reconstruct Connection in Wireless Sensor Networks by Using Genetic Algorithm." Modern Applied Science 10, no. 6 (2016): 50. http://dx.doi.org/10.5539/mas.v10n6p50.

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In recent years most of the research in the field of sensor networks is allocated to the wireless sensor and actor networks due to their complicacy and vastness of research area. This type of network is a group of sensors and actors wirelessly linked to each other. Sensors gather information of physical world while actors take appropriate decisions on the basis of gathered information and then perform proper actions upon the environment. In wireless sensor and actor networks, it is very important to maintain the connection between actors. Failure of one or more actors can break up the network
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20

Mishra, Saurabh, Prof Rakesh Ranjan, Dr Sonika Singh, and Dr Gagan Singh. "Performance Analysis of MIMO Heterogeneous Wireless Sensor Networks." International Journal of Innovative Technology and Exploring Engineering 12, no. 12 (2023): 25–31. http://dx.doi.org/10.35940/ijitee.l9742.11121223.

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Wireless Sensor Networks (WSN) are widely used in remote applications related to defence and healthcare. A network with nodes having different capabilities like sensing, various computational capabilities, power-efficient communication, and a varied sensing range is called a heterogeneous wireless sensor network. Heterogeneous wireless sensor networks using MIMO wireless channels are more useful for energy-efficient multi-channel communication. MIMO applications in wireless sensor networks have the potential to enhance throughput, reduce End-to-End Delay, improve packet delivery ratios, and co
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Paliwal, Rakesh, and Irfan Khan. "Design and Analysis of Soft Computing Based Improved Routing Protocol in WSN for Energy Efficiency and Lifetime Enhancement." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 3 (2022): 12–24. http://dx.doi.org/10.17762/ijritcc.v10i3.5521.

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Mobile wireless sensor networks have been developed as a result of recent advancements in wireless technologies. Sensors in the network are low-cost and have a short battery life, in addition to their mobility. They are more applicable in terms of the essential properties of these networks. These networks have a variety of uses, including search and rescue operations, health and environmental monitoring, and intelligent traffic management systems, among others. According to the application requirements, mobile wireless sensor nodes are energy limited equipment, so energy conservation is one of
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22

Ashish, Verma, and Patidar Mukesh. "Review Paper on Wireless Sensor Networks WSN for Fuzzy Logy Algorithms." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1971–75. https://doi.org/10.31142/ijtsrd14517.

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Wireless Sensor Networks is a group of spatially dispersed dedicated sensors to monitor and record an environment's physical conditions and to organize collected data at a central location Xiao 2004 . Wireless Sensor networks WSNs have become one of the most interesting areas of research in the past few years. A WSN is composed of a number of wireless sensor nodes which form a sensor field and a sink. These large numbers of nodes, having the abilities to sense their surroundings, perform limited computation and communicate wirelessly form the WSNs. It is enjoy great benefits due to their v
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23

Mangukiya, Hiteshkumar Bhupatbhai. "Performance Evaluation of Wireless Sensor Networks' Communication Overhead and Energy Consumption using the Self-Organizing Map Method." International Journal of Trend in Scientific Research and Development 6, no. 6 (2022): 682–89. https://doi.org/10.5281/zenodo.7091437.

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Powerful actors and resource-constrained sensors are joined in wireless networks to form Wireless Sensor and Actor Networks (WSANs). The lifespan of a sensor network may be effectively increased by clustering. The method of clustering involves breaking up sensor networks into smaller, more nimble groups of individuals with a cluster head. In hierarchically organised wireless sensor networks, clustering algorithms must choose the ideal number of clusters. In this study, we examine the effectiveness of cluster-based wireless sensor networks for various wireless sensor network communication patte
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M. Rajalakshmi. "Survey on Enhancing Energy Efficiency in Wireless Sensor Networks Based on Rapid Data Collection." Communications on Applied Nonlinear Analysis 31, no. 3s (2024): 74–81. http://dx.doi.org/10.52783/cana.v31.732.

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Wireless Sensor Networks (WSNs) are widely used in various applications such as environmental monitoring, healthcare, and business automation. These networks rely on the integration of sensors to collect data quickly. However, operating WSNs efficiently, especially in scenarios where quick and reliable data acquisition is crucial, faces significant challenges due to the limited power resources of sensor nodes. This survey paper provides a detailed review of current methodologies and techniques focused on improving energy efficiency in WSNs for fast data collection. It begins by discussing the
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Kaur, Rashmeet, Amit Gupta, and Rakesh Goyal. "Analysis of Coverage Hole Problem for Detection and Restoration in Wireless Sensor Networks." Advanced Science, Engineering and Medicine 12, no. 3 (2020): 403–8. http://dx.doi.org/10.1166/asem.2020.2537.

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Wireless Sensor Network is an evolving technology which has gained massive attention in the past few years. Researchers are focusing on designing the wireless sensors more and more intelligent and efficient to make our life extremely comfortable and luxurious. Wireless Sensor Networks are used in bridge monitoring, smart agriculture, health care monitoring, landslide detection, biodiversity mapping, etc. Coverage holes are one of the key problems which occur in the Wireless Sensor Network accidentally and they cannot be neglected. The coverage holes appear in the sensing field due to poor inst
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Sun, Yi, Dongfa Sheng, and Dewen Liu. "Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning." Sensors 23, no. 7 (2023): 3416. http://dx.doi.org/10.3390/s23073416.

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With the rapid development of sensor technology, machine learning, and the Internet of Things, wireless sensor networks have gradually become a research hotspot. In order to improve the data fusion performance of wireless sensor networks and ensure network security in the event of external attacks, this paper proposes a wireless sensor optimization algorithm model, involving wireless sensor networks, the Internet of Things, and other related fields. This paper first analyzes the role of the Internet of Things in wireless sensor networks, studies the localization mechanism and hierarchy of the
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Ashokkumar, Jobanputra Paresh, and Prof Arun Jhapate. "A Review of Sensor Node in Wireless Sensor Networks." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 124–27. http://dx.doi.org/10.31142/ijtsrd23620.

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28

Choi, Woo-Yong. "Novel MAC routing protocol for wireless sensor networks based on IEEE 802.11 ad hoc networks." Journal of Electrical Engineering 73, no. 5 (2022): 355–58. http://dx.doi.org/10.2478/jee-2022-0048.

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Abstract Due to the lack of efficient specified multi-hop routing protocol, IEEE 802.11 ad hoc networks have been in limited use for realizing wireless sensor networks where wireless sensors are dispersed in a region and each sensor can transmit its data to one another. We propose a novel MAC routing protocol for IEEE 802.11 wireless sensor networks, of which the service areas are extended by appropriately appointed pseudo-access points.
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Ranjan, Alok, H. B. Sahu, and Prasant Misra. "Wireless Sensor Networks." International Journal of Applied Evolutionary Computation 7, no. 4 (2016): 1–27. http://dx.doi.org/10.4018/ijaec.2016100101.

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With continuous advancements in sensor technology, wireless communications, modern network architectures and electronics; it is now feasible to fulfill the requirements of underground mines using wireless sensor network (WSN). At present, coal mining industries have the option of choosing a communication and tracking systems based on their requirement and budget. WSN has the advantage of support for wireless architecture which may fit for mining industries. There is limited literature available, which discuss the different features and associated challenges to WSNs in underground mines. Howeve
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Zorzi, M. "Wireless sensor networks." IEEE Wireless Communications 11, no. 6 (2004): 2. http://dx.doi.org/10.1109/mwc.2004.1368890.

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31

Havinga, P., J. C. Hou, and Feng Zhao. "Wireless sensor networks." IEEE Wireless Communications 11, no. 6 (2004): 4–5. http://dx.doi.org/10.1109/mwc.2004.1368892.

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32

Stankovic, John A. "Wireless Sensor Networks." Computer 41, no. 10 (2008): 92–95. http://dx.doi.org/10.1109/mc.2008.441.

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33

Elson, Jeremy, and Kay Römer. "Wireless sensor networks." ACM SIGCOMM Computer Communication Review 33, no. 1 (2003): 149–54. http://dx.doi.org/10.1145/774763.774787.

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34

Cayirci, Erdal, Ramesh Govindan, Taieb Znati, and Mani Srivastava. "Wireless sensor networks." Computer Networks 43, no. 4 (2003): 417–19. http://dx.doi.org/10.1016/s1389-1286(03)00351-7.

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35

Agustí, Ramon, and Oriol Sallent. "Wireless Sensor Networks." International Journal of Wireless Information Networks 12, no. 1 (2005): 1–2. http://dx.doi.org/10.1007/s10776-005-5170-5.

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36

S, Sweta, and Balajee Maram. "Underwater Wireless Sensor Networks." JOIV : International Journal on Informatics Visualization 2, no. 1 (2018): 10. http://dx.doi.org/10.30630/joiv.2.1.99.

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There are a plenty of unexploited resources that lies underwater that covers almost 75% of the earth.In order to utilise them,the field of underwater wireless sensor networks (UWSN) is attracting the researchers to extend their thoughts in this field. The wireless sensor networks are heavy networks that consist of small low cost sensors that have a large amount of solving ability and energy resources which can be applicable in any type of irregular environments irrespective of changing conditions. Keeping in view of the real-time remote data transferring requirements, underwater acoustic sensor
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Chan, Tung Jung, Ching Mu Chen, and Tsair Rong Chen. "A Forwarding Station Integrated with Optimal Cluster Number Selection in Wireless Sensor Networks." Applied Mechanics and Materials 201-202 (October 2012): 745–48. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.745.

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In wireless sensor networks, power consumption is the most important issue. That is wireless sensors are normally deployed into unattended places where power of sensors is hard to be charged. Indeed, the network lifetime of wireless sensor networks equipped with city power or deployed into attended place is much longer than those wireless sensors equipped with batteries. In general, wireless sensor nodes are connected together and become a network after deployed into certain places. With the certain range places that wireless senor nodes deployed into, finding the optimal clusters can increase
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Krishna, K. Hari, Y. Suresh Babu, and Tapas Kumar. "Wireless Network Topological Routing in Wireless Sensor Networks." Procedia Computer Science 79 (2016): 817–26. http://dx.doi.org/10.1016/j.procs.2016.03.111.

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Lee, Chao Yang, Fu Tian Lin, and Chu Sing Yang. "Mobile Sensor Navigation in Wireless Hybrid Sensor Networks." Advanced Materials Research 694-697 (May 2013): 1013–16. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1013.

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With recent advances in mobile platforms, hybrid sensor networks are becoming very popular technology. Mobile sensors can dynamically move to monitor uncovered areas and thus improve the coverage quality. Due to the obstacles may exist in the monitor fields, mobile sensors need to find an obstacle-free moving path for mobile sensor movement. However, in practical, sensors are difficult to obtain the geographic information of obstacles. Additionally, sensors have resource constraints. Hence, this work proposed an obstacle-free and geographic-free dispatch scheme (OGDS) for mobile sensor navigat
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Ompal, Ompal, Niraj Kumar, Vishnu Mohan Mishra, and Adesh Kumar. "Wireless sensor networks protocols, applications, and network-on-chip communications." IAES International Journal of Robotics and Automation (IJRA) 13, no. 3 (2024): 338. http://dx.doi.org/10.11591/ijra.v13i3.pp338-350.

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A wireless sensor network (WSN) is a network consisting of self-governing sensors that are deployed in space and communicate with each other using wireless technology to monitor physical or environmental variables. These networks generally include compact, inexpensive sensor nodes equipped with sensing, processing, and communication functionalities. WSNs are specifically engineered to gather data from their immediate environment, do local data processing, and subsequently communicate pertinent information either to a central hub or to other interconnected nodes within the network. Continuous r
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Ompal, Niraj Kumar, Vishnu Mohan Mishra, and Adesh Kumar. "Wireless sensor networks protocols, applications, and network-on-chip communications." IAES International Journal of Robotics and Automation 13, no. 3 (2024): 338–50. https://doi.org/10.11591/ijra.v13i3.pp338-350.

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A wireless sensor network (WSN) is a network consisting of self-governing sensors that are deployed in space and communicate with each other using wireless technology to monitor physical or environmental variables. These networks generally include compact, inexpensive sensor nodes equipped with sensing, processing, and communication functionalities. WSNs are specifically engineered to gather data from their immediate environment, do local data processing, and subsequently communicate pertinent information either to a central hub or to other interconnected nodes within the network. Continuous r
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42

Luo, Xin-long, Wei Li, and Jia-ru Lin. "Geometric Location Based on TDOA for Wireless Sensor Networks." ISRN Applied Mathematics 2012 (January 11, 2012): 1–10. http://dx.doi.org/10.5402/2012/710979.

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Wireless sensor networks (WSNs) consist of a large number of low-cost miniature sensors, which can be applied to battlefield surveillance, environmental monitoring, target tracking, and other applications related to the positions of sensors. The location information of sensors is of great importance for wireless sensor networks. In this paper, we propose a new localization algorithm for the wireless sensor network based on time difference of arrival (TDOA), which is a typical algorithm in the wireless localization field. In order to improve the localization accuracy of a sensor, a new strategy
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Juwaied, Abdulla, Lidia Jackowska-Strumillo, and Artur Sierszeń. "Enhancing Clustering Efficiency in Heterogeneous Wireless Sensor Network Protocols Using the K-Nearest Neighbours Algorithm." Sensors 25, no. 4 (2025): 1029. https://doi.org/10.3390/s25041029.

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Wireless Sensor Networks are formed by tiny, self-contained, battery-powered computers with radio links that can sense their surroundings for events of interest and store and process the sensed data. Sensor nodes wirelessly communicate with each other to relay information to a central base station. Energy consumption is the most critical parameter in Wireless Sensor Networks (WSNs). Network lifespan is directly influenced by the energy consumption of the sensor nodes. All sensors in the network send and receive data from the base station (BS) using different routing protocols and algorithms. T
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Dora, Sidhartha Sankar, and Prasanta Kumar Swain. "Feature Selection and Energy Management in Wireless Sensor Networks using Deep Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 628–33. http://dx.doi.org/10.17762/ijritcc.v11i9s.7476.

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In wireless sensor networks, when the available energy sources and battery capacity are extremely constrained, energy efficiency is a major issue to be adressed. One of the main goals in the design of wireless sensor networks (WSNs) is to maximize longevity of battery life. Designers can benefit from the use of intelligent power utilization models to accomplish this goal. These models seek to decrease the number of chosen sensors used to record environmental measures in order to minimize power utilization while retaining the acceptable level of measurement accuracy. In order to simulate wirele
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Liu, Xuxun. "POWER MANAGEMENT ROUTING IN WIRELESS SENSOR NETWORKS: AN OVERVIEW." SOFT MEASUREMENTS AND COMPUTING 1, no. 8 (2021): 49–68. http://dx.doi.org/10.36871/2618-9976.2021.08.002.

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The article discusses the architecture of wireless sensor networks, design problems of wireless sensor networks, the use of wireless sensor networks, the implementation of routing protocols in wireless sensor networks, the introduction of power management based routing in wireless sensor networks.
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Khalid, Muhammad, Zahid Ullah, Naveed Ahmad, et al. "A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/7539751.

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Underwater wireless sensor networks are a newly emerging wireless technology in which small size sensors with limited energy and limited memory and bandwidth are deployed in deep sea water and various monitoring operations like tactical surveillance, environmental monitoring, and data collection are performed through these tiny sensors. Underwater wireless sensor networks are used for the exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance systems, and unmanned underwater vehicles. Sensor nodes consist of a small memory, a cen
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Basaligheh, Parvaneh. "Optimal Coverage in Wireless Sensor Network using Augmented Nature-Inspired Algorithm." International Journal on Future Revolution in Computer Science & Communication Engineering 8, no. 2 (2022): 71–78. http://dx.doi.org/10.17762/ijfrcsce.v8i2.2082.

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One of the difficult problems that must be carefully considered before any network configuration is getting the best possible network coverage. The amount of redundant information that is sensed is decreased due to optimal network coverage, which also reduces the restricted energy consumption of battery-powered sensors. WSN sensors can sense, receive, and send data concurrently. Along with the energy limitation, accurate sensors and non-redundant data are a crucial challenge for WSNs. To maximize the ideal coverage and reduce the waste of the constrained sensor battery lifespan, all these acti
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Ma, Rui, Yan Cheng Liu, and Chuan Wang. "A Novel Algorithm to Improve Network Lifetime of Wireless Sensor Networks." Applied Mechanics and Materials 433-435 (October 2013): 599–602. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.599.

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One approach to extend the network lifetime is to divide the deployed sensors into disjoint subsets of sensors, or sensor covers, such that each sensor cover can cover all targets and work by turns. The more sensor covers can be found, the longer sensor network lifetime can be prolonged.This study propose a novel hybrid genetic algorithm (NHGA) comprising both basic generic operations with a fitness-improving local-search strategy to divide all wireless sensor nodes into a maximum number of disjoint set covers (DSCs). The simulation results show that NHGA outperforms the existing methods by ge
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Kim, Kyungdoh, Chunghun Ha, and Changsoo Ok. "Network Structure-Aware Ant-Based Routing in Large-Scale Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/521784.

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Routing algorithms for large-scale sensor networks should be capable of finding energy efficient paths to prolong the lifetime of the networks in a decentralized manner. With this respect, Ant System has several proper characteristics for routing algorithm in large-scale wireless sensor networks. First, its distributed mechanism enables routing algorithm to find a solution with only local information and be robust for uncertainties in wireless sensor networks. Second, the framework of the Ant System is proper to solve dynamic problems such as routing problem. Transition probability in Ant Syst
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Kumar, Vijay. "SURVEY OF FAULT DETECTION ALGORITHM IN WSN." International Journal of Research -GRANTHAALAYAH 5, no. 5 (2017): 207–13. http://dx.doi.org/10.29121/granthaalayah.v5.i5.2017.1851.

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In recent years, applications of wireless sensor networks (WSNs) have been improved due to its vast potential to connect the physical world to the virtual world. Also, a progress in microelectronic fabrication technology reduces cost of developed portable wireless sensor nodes. Faults occurring to sensor nodes are familiar due to the sensor device itself and the harsh environment where the sensor nodes are deploy. WSNs is mainly affect by the crash of sensor nodes. Possibility of sensor node failure increases with increase number of sensors. Wireless sensor networks have been recognized, at an
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