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Journal articles on the topic 'Dynamic Wireless Sensor Networks'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Elamurugu, V., and D. J. Evanjaline. "DynAuthRoute: Dynamic Security for Wireless Sensor Networks." Indian Journal Of Science And Technology 17, no. 13 (2024): 1323–30. http://dx.doi.org/10.17485/ijst/v17i13.49.

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Objectives: The research aims to design an architecture for secure transmission of data in wireless sensor networks. Methods: The method involves three main pillars: authentication, data encryption, and dynamic routing. Extensive simulations have been conducted to evaluate the suggested method in terms of energy consumption, memory footprint, packet delivery ratio, end-to-end latency, execution time, encryption time, and decryption time. Findings: For authentication, a dynamic key is used to power an improved salt password hashing method. Data encryption is performed using format-preserving en

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2

K, Vijayalakshmi, Jayalakshmi S, Abinaya S, Indhumathi S, and Hemavathi J. "Dynamic Cluster Head Selection Method for Wireless Sensor Networks." SIJ Transactions on Computer Networks & Communication Engineering 06, no. 02 (2018): 06–09. http://dx.doi.org/10.9756/sijcnce/v6i2/05010200101.

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3

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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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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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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HUANG, GUANGYAN, XIAOWEI LI, JING HE, and XIN LI. "DATA MINING VIA MINIMAL SPANNING TREE CLUSTERING FOR PROLONGING LIFETIME OF WIRELESS SENSOR NETWORKS." International Journal of Information Technology & Decision Making 06, no. 02 (2007): 235–51. http://dx.doi.org/10.1142/s0219622007002538.

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Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering

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Salam, Al-Khammasi, Alhelal Dheyaa, and Salih Ali Nabeel. "Energy Efficient Cluster Based Routing Protocol for Dynamic and Static Nodes in Wireless Sensor Network." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 5 (2018): 1974–81. https://doi.org/10.12928/TELKOMNIKA.v16i5.9930.

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Power consumption is considered one of the most significant challenges in the wireless network sensors (WSNs). In this paper, an investigation of the power consumption is done by making a comparison between static and dynamic WSNs. We have compared the results of the static network with the results of the dynamic network. Static and dynamic wireless Sensor networks have the same architecture (Homogenous) and proposed protocol. Depending on the suggested protocol, the simulation results show that the energy consumption in the static wireless sensor network was less than the dynamic wireless sen

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8

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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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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10

Zhou, Xin Xin, and Yan Zhao. "A Novel Energy-Balanced Dynamic Routing Algorithm for Wireless Sensor Networks." Applied Mechanics and Materials 681 (October 2014): 235–38. http://dx.doi.org/10.4028/www.scientific.net/amm.681.235.

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Wireless sensor networks (WSNs) is taking an increasing role in our lives. Because the energy of the sensors is limited how to efficiently use the energy to prolong the lifecycle of the sensor networks is very important. In this paper, a novel energy-balanced dynamic routing algorithm based on ACO is proposed. The novel routing algorithm can dynamically choose routing according to the residual energy of the sensors and the sensors with more power is taken more data transfer tasks. The simulation results show that the proposed routing algorithm can effectively balance energy consumption and pro

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11

V, Elamurugu, and J. Evanjaline D. "DynAuthRoute: Dynamic Security for Wireless Sensor Networks." Indian Journal of Science and Technology 17, no. 13 (2024): 1323–30. https://doi.org/10.17485/IJST/v17i13.49.

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Abstract <strong>Objectives:</strong> The research aims to design an architecture for secure transmission of data in wireless sensor networks. <strong>Methods:</strong> The method involves three main pillars: authentication, data encryption, and dynamic routing. Extensive simulations have been conducted to evaluate the suggested method in terms of energy consumption, memory footprint, packet delivery ratio, end-to-end latency, execution time, encryption time, and decryption time.<strong> Findings:</strong> For authentication, a dynamic key is used to power an improved

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12

Shukur, Marwan Ihsan. "S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 438–44. https://doi.org/10.11591/ijeecs.v23.i1.pp438-444.

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The internet of things (IoT) protocols and regulations are being developed for various applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different cha

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13

Choi, Won Hyuck, and Min Seok Jie. "A Study on the Implementation of Dynamic Routing Algorithm to Improve Efficiency for Wireless Sensor Networks." Applied Mechanics and Materials 284-287 (January 2013): 2021–26. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2021.

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The development of wireless communication and electronic technology leads to wireless sensor networks in various fields. Wireless sensor networks can exchange the data that generated from near environment field observation between other sensor nodes. Generally, Wireless sensor networks consist of multi sensor nodes and one or more sink nodes The sensor sensing data that nodes detected transmit from sensor networks to base station and deliver to users through internet. However sensor networks are restricted in the aspects of communication, processing data and energy consumption. Because of the

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14

Pan, Wu Min. "Dynamic Update Mechanism in Wireless Sensor Networks." Applied Mechanics and Materials 526 (February 2014): 267–72. http://dx.doi.org/10.4028/www.scientific.net/amm.526.267.

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Many researches use diff environmental conditions or application requirements in WSN. In the default Deluge mechanism, it will recover a sensor node from an updating error by reloading the stored full image again or waiting for the host machine to retransmit the full image again. This strategy is easy to implement and intuitive, but replacing the current executing image by retransmitting a full image file again is resource-consuming. To avoid retransmitting the full image when performing recovery, at the time when diff-based updating procedures have been finished, sensor nodes using our recove

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15

Garg, Parul, and Sandeep Waraich. "Dynamic CDBR for Underwater Wireless Sensor Networks." Communications on Applied Electronics 2, no. 9 (2015): 19–24. http://dx.doi.org/10.5120/cae2015651849.

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16

Sinha, A., and A. Chandrakasan. "Dynamic power management in wireless sensor networks." IEEE Design & Test of Computers 18, no. 2 (2001): 62–74. http://dx.doi.org/10.1109/54.914626.

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17

Sun, Zhi, Ian F. Akyildiz, and Gerhard P. Hancke. "Dynamic Connectivity in Wireless Underground Sensor Networks." IEEE Transactions on Wireless Communications 10, no. 12 (2011): 4334–44. http://dx.doi.org/10.1109/twc.2011.093011.110632.

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18

Gupta, Parul. "Comparative Study of Fault Detection Techniques in Wireless Networks and Manets." International Journal of Advanced Multidisciplinary Research and Studies 3, no. 2 (2023): 1207–13. https://doi.org/10.62225/2583049x.2023.3.2.4114.

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The internet has dominated global communication for over three decades, largely due to the robustness and ease of deployment offered by wired networks. However, in recent years, the decreasing hardware costs associated with wireless networks have significantly boosted their popularity worldwide. Traditional wireless networks typically require a central device, such as a router (acting as a server), to which multiple devices (clients) connect wirelessly. In contrast, Mobile Ad-Hoc Networks (MANETs) and Wireless Sensor Networks (WSNs) operate without such centralized devices. MANETs are decentra

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19

Madhushri, Priyanka, and Emil Jovanov. "Long-Term Synchronization of Hybrid Sensors Networks." International Journal of Embedded and Real-Time Communication Systems 9, no. 2 (2018): 32–46. http://dx.doi.org/10.4018/ijertcs.2018070103.

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This article presents synchronization of a hybrid distributed sensor network with wired and wireless sensors. Authors present an implementation of a sleep monitoring system as a hybrid sensor network that combines wireless inertial sensors controlled by a custom smartphone application as an extension of the polysomnographic (PSG) monitor to improve user's comfort. The authors developed an original method of synchronization of wireless sensor data with the PSG records using an auxiliary audio synchronization signal generated by the smartphone. The timestamps on the smartphone are synchronized w

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20

M, Abdul Rahiman, Jain Nishanth, K. Dubey Arun, and Manoj Kumar G. "CODE AWARE DYNAMIC SOURCE ROUTING FOR DISTRIBUTED SENSOR NETWORK." International Journal of Network Security & Its Applications (IJNSA) 5, no. 2 (2013): 117–24. https://doi.org/10.5281/zenodo.3991330.

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Sensor network facilitates monitoring and controlling of physical environments. These wireless networks consist of dense collection of sensors capable of collection and dissemination of data. They have application in variety of fields such as military purposes, environment monitoring etc. Typical deployment of sensor network assumes central processing station or a gateway to which all other nodes route their data using dynamic source routing (DSR). This causes congestion at central station and thus reduces the efficiency of the network. In this work we will propose a better dynamic source rout

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21

Liu, Wen Tao. "Research on Security Problems in Wireless Sensor Networks." Applied Mechanics and Materials 336-338 (July 2013): 2415–18. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2415.

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The wireless sensor networks are widely used in many fields because of its characters such as large-scale, self-organization, dynamic, reliability and so on. But its developments have encountered many problems and the security is an important problem. The traditional security protection method cannot be applied directly to the wireless sensor networks such as the intrusion detection system due to its special characteristics with limited memory and storage space. In this paper, the security problems and related protection mechanisms in the wireless sensor networks are discussed and the intrusio

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22

Antil, Pearl, and Amita Malik. "Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey." Journal of Computer Networks and Communications 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/969501.

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Owing to random deployment, environmental factors, dynamic topology, and external attacks, emergence of holes in wireless sensor networks is inescapable. Hole is an area in sensor network around which sensors cease to sense or communicate due to drainage of battery or any fault, either temporary or permanent. Holes impair sensing and communication functions of network; thus their identification is a major concern. This paper discusses different types of holes and significance of hole detection in wireless sensor networks. Coverage hole detection schemes have been classified into three categori

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23

Uppal, R. S., and Shakti Kumar. "Big Bang-Big Crunch Algorithm for Dynamic Deployment of Wireless Sensor Network." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 596. http://dx.doi.org/10.11591/ijece.v6i2.8246.

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This paper proposes soft computing technique Big Bang-Big Crunch (BB-BC) to address the main issue of deployment of wireless sensor networks. Deployment is the main factor that significantly affects the performance of the wireless sensor network. This approach maximizes the coverage area of the given set of sensors. We implemented our approach in MATLAB and compared it with ABC approach and found that the proposed approach is much better than the said approach.

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Uppal, R. S., and Shakti Kumar. "Big Bang-Big Crunch Algorithm for Dynamic Deployment of Wireless Sensor Network." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 596. http://dx.doi.org/10.11591/ijece.v6i2.pp596-601.

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This paper proposes soft computing technique Big Bang-Big Crunch (BB-BC) to address the main issue of deployment of wireless sensor networks. Deployment is the main factor that significantly affects the performance of the wireless sensor network. This approach maximizes the coverage area of the given set of sensors. We implemented our approach in MATLAB and compared it with ABC approach and found that the proposed approach is much better than the said approach.

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25

Ramya, E., and R. Gobinath. "Performance metrics in wireless sensor networks :a survey and outlook." International Journal of Engineering & Technology 7, no. 2.26 (2018): 25. http://dx.doi.org/10.14419/ijet.v7i2.26.12527.

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Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a cha

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26

Shukur, Marwan Ihsan. "S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 438. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp438-444.

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Abstract:

The internet of things (IoT) protocols and regulations are being developed forvarious applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different chal

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27

Amit Singh, Et al. "?Implementation of Security Protocol for Intrusion Detection Systems in Wireless Sensor Networks." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 3240–43. http://dx.doi.org/10.17762/ijritcc.v11i9.9515.

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Sensor networks consist of compact sensors and actuators capable of monitoring physical conditions. Wireless Sensor Networks (WSNs) with limited power and dynamic topology require effective security mechanisms. Insider attacks pose a greater challenge than outsider attacks. This work proposes an Intrusion Detection approach in WSNs to detect attacks, emphasizing experimental results, parameter analysis, and Performance Evaluation based on accuracy and minimizing false positives.

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Zhao, A. Q., Y. N. Weng, Y. Lu, and C. Y. Liu. "Research on Dynamic Routing Mechanisms in Wireless Sensor Networks." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/165694.

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WirelessHART is the most widely applied standard in wireless sensor networks nowadays. However, it does not provide any dynamic routing mechanism, which is important for the reliability and robustness of the wireless network applications. In this paper, a collection tree protocol based, dynamic routing mechanism was proposed for WirelessHART network. The dynamic routing mechanism was evaluated through several simulation experiments in three aspects: time for generating the topology, link quality, and stability of network. Besides, the data transmission efficiency of this routing mechanism was

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29

Cao, Luzhou. "Clustering Routing Protocol for Mobile Wireless Sensor Networks Based on Dynamic Network Partition." International Journal of Online Engineering (iJOE) 14, no. 11 (2018): 103. http://dx.doi.org/10.3991/ijoe.v14i11.9516.

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<p class="0abstract"><span lang="EN-US">To prolong the network life and improve the network performance, a new clustering routing protocol which uses dynamic network to divide and consider the residual energy of sensor nodes is proposed. The design and simulation of the clustering scheme for mobile wireless sensor networks are also studied. The results show that the protocol controls the number of cluster heads by region division of the network and balances its distribution in wireless sensor networks according to the latest location of the sink node. At the same time, the residual

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30

Okpare, Onoharigho Anthony, Ogheneakpobo Jonathan Eyunubo, Ilori Gabriel Efenedo, et al. "DYNAMIC PRESSURE MONITORING USING A WIRELESS SENSOR NETWORK." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 04 (2023): 3333–38. https://doi.org/10.5281/zenodo.7840316.

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This study introduces the build out and implementation of a wireless sensor network that was used to monitor dynamic pressure of water flowing inside a pipe against leak. At 5 chosen points along a prototype water pipeline, pressure sensors (HK1100C) were used to collect pressure data and its voltage data equivalent. Five locally designed and constructed field sensor nodes made up of  pressure sensors, Ardiuno boards containing an 8-bit ATmega328P microcontrollers, GSM SIM800L modules, and power sources were used to process and analyze the pressure data such that when the pressure data fa

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31

Fan, Fei, Qiaoling Ji, Gongping Wu, Man Wang, Xuhui Ye, and Quanjie Mei. "Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids." Sensors 19, no. 1 (2018): 41. http://dx.doi.org/10.3390/s19010041.

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The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wir

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Kotukh, Y., V. Lubchak, and O. Strakh. "New continuous-discrete model for wireless sensor networks security." Radiotekhnika, no. 210 (September 28, 2022): 99–103. http://dx.doi.org/10.30837/rt.2022.3.210.07.

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A wireless sensor network (WSN) is a group of "smart" sensors with a wireless infrastructure designed to monitor the environment. This technology is the basic concept of the Internet of Things (IoT). The WSN can transmit confidential information while working in an insecure environment. Therefore, appropriate security measures must be considered in the network design. However, computational node constraints, limited storage space, an unstable power supply, and unreliable communication channels, and unattended operations are significant barriers to the application of cybersecurity techniques in

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33

Mathur, Bhawana. "Secure Dynamic Data Aggregation Routing Protocol for Wireless Sensor Networks." Asian Journal of Electrical Sciences 1, no. 2 (2012): 38–41. http://dx.doi.org/10.51983/ajes-2012.1.2.1678.

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Routing in sensor networks is complicated due to several issues ranging from security to energy constraints of wireless sensor nodes. This distinguishes them from contemporary wireless ad hoc networks. Adversaries can launch DoS attacks by injecting false data reports via compromised nodes. Previously a Hill Climbing key dissemination filtering scheme was developed where each node disseminates its key to forwarding nodes and later transmits reports along with the key. The forwarding nodes validate the credibility of the reports based on the key obtained earlier. This approach assures stronger

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Sarella, Venkata Ramana, P. V. G. D. Prasad Reddy, S. Krishna Rao, and Preethi Padala. "EEECARP." Journal of Global Information Management 25, no. 4 (2017): 125–38. http://dx.doi.org/10.4018/jgim.2017100108.

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WSN is a promising approach for variety of different real time applications. Different Routing protocols for WSNs are very effective challenge in present days because of scalability, efficient energy utilization and robustness in large number of wireless sensor networks with consists of more number of sensor nodes. LEATCH is a traditional routing protocol for energy optimization in WSNs. However, LEATCH cannot scale performance for large scale wireless sensor networks and difficulty to apply effective utilization of real time wireless sensor networks. So, in this paper the authors propose to d

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Liu, Ning Han, Hsiang Ming Hsu, and Tien Cheng Huang. "Enhanced Approaches for Processing Window Queries in Dynamic Wireless Sensor Networks." Applied Mechanics and Materials 58-60 (June 2011): 2122–27. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2122.

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Due to the proliferation of low cost wireless sensors, there is growing research interest in their applications, for example, in home healthcare and location tracking. However, due to sensors’ energy resource constraint, some possible applications of sensors have been restricted. In particular, in applications concerning deployment of mobile sensors in dynamic environments, high amounts of energy are consumed by sensors to maintain routing tables. Although existing methods have been proposed to query data from sensors without the use of any routing tables, these methods typically require redun

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Wu, Hejun, Jiannong Cao, and Xiaopeng Fan. "Dynamic collaborative in-network event detection in wireless sensor networks." Telecommunication Systems 62, no. 1 (2015): 43–58. http://dx.doi.org/10.1007/s11235-015-9981-0.

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37

Yang, Shujie, Tao Huang, Jianfeng Guan, Yongping Xiong, and Mu Wang. "Diffusion Strategies for Distributed Kalman Filter with Dynamic Topologies in Virtualized Sensor Networks." Mobile Information Systems 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/8695102.

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Network virtualization has become pervasive and is used in many applications. Through the combination of network virtualization and wireless sensor networks, it can greatly improve the multiple applications of traditional wireless sensor networks. However, because of the dynamic reconfiguration of topologies in the physical layer of virtualized sensor networks (VSNs), it requires a mechanism to guarantee the accuracy of estimate values by sensors. In this paper, we focus on the distributed Kalman filter algorithm with dynamic topologies to support this requirement. As one strategy of distribut

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Nirmala, bai K.S, and Subramanyam M.V. "Optimization of Wireless Sensor Networks Using the ANT Colony Optimization." Journal of Scholastic Engineering Science and Management (JSESM), A Peer Reviewed Universities Refereed Multidisciplinary Research Journal 2, no. 7 (2023): 27–32. https://doi.org/10.5281/zenodo.15192879.

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This paper proposes an ant colony optimization-based routing algorithm for wireless sensor networks. The algorithm incorporates link quality into pheromone formation and supports multiple routes, which are characteristics of an ant colony algorithm. When routing is chosen, the probability of the node being chosen as the next hop is calculated based on the pheromone concentration on the route. Because ant colony optimization is self-organizing, dynamic, and multi-path, it is ideal for wireless sensor network routing. This algorithm has a low routing cost, good self-adaptation, and can handle mu

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Zhou, Hong, Chun Yan Fu, Yuan Zhi, and Jia Mei Xue. "Optimization Methodology of Dynamic Links in Wireless Sensor Network." Advanced Materials Research 546-547 (July 2012): 856–61. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.856.

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Recently, research in computing connection technology of sensors has great achievement, but usually confined to the static connecting technology. Still limited is the dynamic connecting technology of sensor network. Based on the dynamic link optimization strategy of multi-hoop wireless sensor networks, we propose self-learning and self-adaptive stimulating method. Algorithm proposed in this paper is on the assumption of predictable advance selective, and can be optimized on the coupling data flow. And we apply the standard data to the experiment to testify the effectiveness of the method propo

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Bajaber, Fuad. "Node Scheduling Scheme for Wireless Sensor Networks with Partial Coverage." Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 15, no. 2 (2023): 1–7. http://dx.doi.org/10.54554/jtec.2023.15.02.001.

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Sensor nodes in a wireless sensor network are distributed across an area for data collection. These nodes have basic capabilities in terms of interfaces and components, and they often operate in dynamic, hostile environments. Sensor networks present numerous challenges: they are dispersed, generate constant high rates data streams, function in dynamic and time-changing situations; and may involve a large number of sensors. Sensor nodes have enough power to transmit their readings to a central high-performance computing unit for processing. Sensor networks generate data streams, which are seque

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Ray, Priyadip, and Pramod K. Varshney. "Distributed Detection in Wireless Sensor Networks Using Dynamic Sensor Thresholds." International Journal of Distributed Sensor Networks 4, no. 1 (2008): 4–11. http://dx.doi.org/10.1080/15501320701774659.

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Ahmed, Mahmood Ali, and Khamees Khalaf Hasan. "Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods." Journal of Cases on Information Technology 23, no. 2 (2021): 39–49. http://dx.doi.org/10.4018/jcit.20210401.oa4.

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Wireless sensor networks (WSNs) are widely used for the different multimedia applications in which the data in multimedia form (e.g., images and videos) are captured by visual sensors and transmitted to base stations or destination nodes, and such networks, commonly called wireless multimedia sensor networks (WMSN), transmit high-quality images over sensor nodes with image quality improvement and CS technique while the security of CS data is achieved. The one-way DF-based cooperative digital image transmission model over WSNs using advanced terminologies for image compression called advanced J

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Moungla, Hassine, Nora Touati, and Ahmed Mehaoua. "Cost Efficient Deployment and Reliable Routing Modeling Based Multi-Objective Optimization for Dynamic Wireless Body Sensor Networks Topology." International Journal of E-Health and Medical Communications 4, no. 4 (2013): 16–33. http://dx.doi.org/10.4018/ijehmc.2013100102.

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Wireless Body Sensor Networks (WBSNs), like any other sensor networks, suffer from limited energy and are highly distributed network, where its nodes organize by themselves and each of them has the flexibility of collecting and transmitting patient biomedical information to a sink. When a knowledge was sent to a sink from a path that doesn't have a definite basis, the routing is a crucial challenge in Wireless Body Area Sensor Networks. Furthermore, reliability and routing delay are the considerable factors in these types of networks. More attention should be given to the energy routing issue

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Nitin, Nitin. "Dynamic Energy Aware Gur Game based Algorithms for Self Optimizing Wireless Sensor Networks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 3 (2013): 776–87. http://dx.doi.org/10.24297/ijct.v4i3.4203.

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This paper presents, Application of Gur Game Based Algorithm on Wireless Sensor Networks (WSNs) deployed to monitor Homogenous and Heterogeneous Grid in order to achieve Quality of Service (QoS) = 0.40 and 0.50. Further, the objectives of all these algorithms are to maximize the coverage of the sensor area while conserving energy consumed by sensor nodes. This is achieved via carefully activating/deactivating the sensors while maximizing the coverage area.

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Zhang, Yu Quan, and Yan Wang. "A Secure Strategy for Location-Based Wireless Sensor Networks." Advanced Materials Research 631-632 (January 2013): 1409–15. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1409.

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A Secure Strategy for Location-Based Wireless Sensor N A cluster-based secure strategy for wireless sensor networks is proposed. The two-dimension sensing area comprises a number of clusters, each of which contains four small squares called cells. The WSNs structure is a two-layer structure. The upper layer consists of all cluster heads and the lower layer consists of all ordinary sensors managed by their cluster heads. The cluster heads establish their pairwise keys through utilizing a key pre-distribution scheme based on cluster head identifications and the ordinary sensors establish their p

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Avinash Jethi, Preeti Sharma and Rakesh Kuma. "Analysis of Energy Efficient Techniques of WSN." International Journal for Modern Trends in Science and Technology 7, no. 07 (2022): 58–62. http://dx.doi.org/10.46501/ijmtst050239.

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The wireless sensor networks is the decentralized type of network in which sensor devices sense information and pass it to base station. Due to dynamic topology of the network security, data aggregation and energy consumption are the major issue which affects network performance. In the past years many techniques are designed to improve lifetime of lifetime of sensor networks. In this review paper, energy efficient techniques of wireless sensor networks are reviewed in terms of certain parameters

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Journal, Admin. "TUTUPAN LAHAN GAMBUT MEMPENGARUHI KONDISI IKLIM MIKRO DI SEKITAR KAMPUS UNIVERSITAS PALANGKA RAYA (Preliminary Data Integrasi Wireless Sensor Network) The Peatland Cover Impact Micro Climate Conditions Near Campus of the University of Palangka Raya (Preli." AgriPeat 19, no. 02 (2019): 110–16. http://dx.doi.org/10.36873/agp.v19i02.164.

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ABSTRACTThe lack of field measurements, which collected in long period and significantly spatial effect onthe environments can obstruct scientific understanding the effect of environmental condition on theecosystems. Application wireless sensor network (WSN) is useful to address the situation throughlow cost wireless measurement sensors and minimize disruption to the location/conditions to bemonitored. The comprehension of composition transformation, structure, the environmentecosystems dynamic, and how is the transformation of all can be affecting the human life, indeedthis challenge are need

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Sujihelen, L., Rajasekhar Boddu, S. Murugaveni, et al. "Node Replication Attack Detection in Distributed Wireless Sensor Networks." Wireless Communications and Mobile Computing 2022 (May 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/7252791.

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Wireless sensor network (WSN) is an emerging technology used in emergency scenarios. There are a number of possible threats to WSNs because they use unsupervised IP addresses. Securing networks with unattended sensors is a real challenge nowadays. Sensor nodes lack power and storage, making them incompatible with normal security checks. It will be vital to make advancements in sensor network architecture and protocol design. There will be more vulnerability to attack if there is a lack of security. Especially, one key attack is node replication which induces the sensor node to acts as an origi

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Rahangdale, Harshal. "A Review on WMSN (Wireless Medical Sensor Networks) for Health Monitoring Systems." ECS Transactions 107, no. 1 (2022): 1973–80. http://dx.doi.org/10.1149/10701.1973ecst.

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Wireless Medical Sensor (WMSN) networks have become a great technology to allow for the best kind of applications. Recent developments at WMSN have helped to create a comprehensive health monitoring concept in both home and hospital care settings. Current technological advances in sensors, integrated dynamic circuits, and wireless connectivity have allowed the event of smaller, heavier, less expensive, and clever body sensors. These modules are able to hear, process, and communicate with one or more important signals. In addition, they will be used on local wireless networks (WPANs) or wireles

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S., Sowmya, and Balakrishnan N. "Intelligent Energy Aware Routing IERA Algorithm based on Dynamic Sink Nodes." International Journal of Trend in Scientific Research and Development 2, no. 1 (2017): 279–86. https://doi.org/10.31142/ijtsrd5878.

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The emergence of big data and cloud technology has driven a fast development of wireless sensor networks WSNs 1-4 . A sensor node is normally comprised of one or more sensor units, a power supply unit, a data processing unit, data storage, and a data transmission unit 5 . A wireless sensor network is a collection of wireless nodes with limited energy that may be mobile or stationary and are located randomly in a dynamically changing environment. Wireless sensor networks hold the promise of revolutionizing the way we observe and interact with the physical world in a wide range of application do

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