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1

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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Gurnule, Pranjali V. "Wireless Jamming Networks." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 1931–35. http://dx.doi.org/10.31142/ijtsrd14455.

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3

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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4

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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5

Hadi, Teeb Hussein. "Types of Attacks in Wireless Communication Networks." Webology 19, no. 1 (2022): 718–28. http://dx.doi.org/10.14704/web/v19i1/web19051.

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Abstract (sommario):
One of the most important types that used to transfer data between nodes without using wires is a “wireless communication network”, where the transmission of data is censored remotely by using electromagnetic waves such as radio waves that usually implemented in the physical layer of the network. Continuous improvements in wireless network technology have reduced the security and speed differences between types of networks (wired and wireless), but in turn, increased security threats to wirelessly transmitted data. Wireless networks are weak in terms of "privacy protection" because anyone who
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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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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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8

Jabbari, B. "Wireless Networks." IEEE Communications Magazine 35, no. 8 (1997): 28. http://dx.doi.org/10.1109/mcom.1997.606023.

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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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Turlykozhayeva, D. A. "EVALUATING ROUTING ALGORITHMS ACROSS DIFFERENT WIRELESS MESH NETWORK TOPOLOGIES USING NS-3 SIMULATOR." Eurasian Physical Technical Journal 21, no. 2(48) (2024): 70–82. http://dx.doi.org/10.31489/2024no2/70-82.

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Wireless Mesh Networks are gaining traction as a solution for delivering reliable connectivity without centralized infrastructure. They operate through wireless node interconnections, forming self-configuring networks ideal for scenarios where wired networks are impractical. Routing is crucial in Wireless Mesh Networks to ensure efficient communication among nodes. However, the suitability of routing algorithms for Wireless Mesh Network’s topology requires further investigation. This paper proposes an investigation into the effectiveness of routing algorithms like AODV, DSDV, and OLSR across v
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Hari, Parli Baijnath, and Shailendra Narayan Singh. "Security Attacks at MAC and Network Layer in Wireless Sensor Networks." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12 (2019): 82–89. http://dx.doi.org/10.5373/jardcs/v11i12/20193215.

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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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Abstract (sommario):
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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Zheng, Jun, Nirwan Ansari, Victor Li, Xuemin Shen, Hossam Hassanein, and Baoxian Zhang. "Network coding for wireless communication networks." IEEE Journal on Selected Areas in Communications 27, no. 5 (2009): 577–81. http://dx.doi.org/10.1109/jsac.2009.090601.

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14

Bollapragada, Ramesh, Thomas B. Morawski, Luz E. Pinzon, Steven H. Richman, and Raymond Sackett. "Network Planning of Broadband Wireless Networks." Interfaces 37, no. 2 (2007): 143–62. http://dx.doi.org/10.1287/inte.1060.0284.

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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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16

Li Na, Zhang Ying, and Cheng Jihong. "A wireless bus circle Network Structure for Wireless Sensor Networks." Journal of Convergence Information Technology 8, no. 10 (2013): 1218–27. http://dx.doi.org/10.4156/jcit.vol8.issue10.147.

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17

Wang, Xinheng. "Wireless mesh networks." Journal of Telemedicine and Telecare 14, no. 8 (2008): 401–3. http://dx.doi.org/10.1258/jtt.2008.008003.

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Abstract (sommario):
Wireless telemedicine using GSM and GPRS technologies can only provide low bandwidth connections, which makes it difficult to transmit images and video. Satellite or 3G wireless transmission provides greater bandwidth, but the running costs are high. Wireless networks (WLANs) appear promising, since they can supply high bandwidth at low cost. However, the WLAN technology has limitations, such as coverage. A new wireless networking technology named the wireless mesh network (WMN) overcomes some of the limitations of the WLAN. A WMN combines the characteristics of both a WLAN and ad hoc networks
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18

Lv, Xiaojing, and Dongphil Chun. "Media Information Dissemination Model of Wireless Networks Using Deep Residual Network." Mobile Information Systems 2021 (July 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/1711944.

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Information dissemination and its prediction in wireless networks is a challenging task. Researchers have studied the prediction process of media information dissemination in wireless networks using various methods. In this paper, we analyze information dissemination in wireless networks using a deep residual network model. In the proposed model, the relative weight of nodes and the dissemination probability of media information in wireless networks are obtained. The obtained information is the inputs into the deep residual network as features. The convolution feature extractor is used to obta
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19

S.SivaNageswara Rao, Dr, Orchu Aruna, and Dr K.Lakshminadh. "Mobile ad hoc network integrated wireless networks: a survey." International Journal of Engineering & Technology 7, no. 1.9 (2018): 217. http://dx.doi.org/10.14419/ijet.v7i1.9.9827.

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Abstract (sommario):
Now a day, every one using mobile devices for communicating with others. The development of new technologies, like Internet of Things (IoT) needs coverage, connectivity, scalability and QoS. In ubiquity networks, the major issues are coverage, connectivity, scalability and QoS. To solve these limitations, integrating wireless networks with ad hoc networks. This paper provides detail survey on how ad hoc networks are integrated with Cellular Network, Wireless Mesh Networks and Wireless Sensor Networks. This integration may resolve the problems of coverage, connectivity, scalability and QoS.
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20

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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21

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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22

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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23

N, Jeeva. "Wireless Networks in Day Today Life." International Journal of Research Publication and Reviews 4, no. 4 (2023): 1903–6. http://dx.doi.org/10.55248/gengpi.2023.4.4.35848.

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24

Fan, Bin, Bin Tang, Zhihao Qu, and Baoliu Ye. "Network Coding Approaches for Distributed Computation over Lossy Wireless Networks." Entropy 25, no. 3 (2023): 428. http://dx.doi.org/10.3390/e25030428.

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Abstract (sommario):
In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across them. However, the common phenomenon of straggling (i.e., worker nodes often experience unpredictable slowdown during computation and communication) and packet losses due to severe channel fading can significantly increase the latency of computational tasks. In this paper, we consider a heterogeneous, wireless, distributed computing system performing large-scale matrix multiplications which form the core of many machine learning ap
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25

Edwards, C. "The future of wireless [wireless networks]." Information Professional 1, no. 5 (2004): 24–31. http://dx.doi.org/10.1049/inp:20040504.

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26

Swetha Priya, T. C., and R. Sridevi. "Novel Clustering Techniques in Wireless Sensor Networks – A Survey." International journal of electrical and computer engineering systems 14, no. 7 (2023): 733–42. http://dx.doi.org/10.32985/ijeces.14.7.1.

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Abstract (sommario):
A study of Wireless Sensor Networks has been growing tremendously these days. Wireless Sensor Networks play a major role in various fields ranging from smart homes to health care. WSN’s operate independently in remote places. Because of tiny size of the nodes in such type of networks, they have a limited number of resources in terms of energy and power. Basically, sensor networks can be classified into flat and cluster based Wireless Sensor Networks. But, Clustering based Sensor Networks play a major role in reducing the energy consumption in Wireless Sensor Networks. Clustering also focuses o
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27

Amjad wahab taleb and Fatemeh Saf Ara. "Performance Evaluation of Virtual Local Area Network (VLANs)." Journal of the College of Basic Education 30, no. 128 (2025): 89–103. https://doi.org/10.35950/cbej.v30i128.12842.

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The medical, financial, and academic spheres can't function without cutting-edge technological advancements. When it comes to quality of service (QoS) metrics like latency, throughput, bandwidth, and security, today's technology relies on high-performance networks. The use of optimized network engineering tools has allowed for the simulation of both the wired and wireless environments on campus, including and excluding virtual local area networks (VLANs). Packets are only sent to ports that are part of the same virtual local area network (VLAN) when hosts are linked together in a VLAN. By usin
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28

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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29

Zhang, Rong, and Lajos Hanzo. "Wireless Cellular Networks." IEEE Vehicular Technology Magazine 5, no. 4 (2010): 31–39. http://dx.doi.org/10.1109/mvt.2010.939106.

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30

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

Pahlavan, K. "Wireless intraoffice networks." ACM Transactions on Information Systems 6, no. 3 (1988): 277–302. http://dx.doi.org/10.1145/45945.45946.

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33

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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34

El-Mougy, Amr, Mohamed Ibnkahla, Ghaith Hattab, and Waleed Ejaz. "Reconfigurable Wireless Networks." Proceedings of the IEEE 103, no. 7 (2015): 1125–58. http://dx.doi.org/10.1109/jproc.2014.2376812.

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35

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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36

Gold, Steve. "Cracking wireless networks." Network Security 2011, no. 11 (2011): 14–18. http://dx.doi.org/10.1016/s1353-4858(11)70120-9.

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37

Guthery, S. "Wireless relay networks." IEEE Network 11, no. 6 (1997): 46–51. http://dx.doi.org/10.1109/65.642359.

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38

Hills, Alex. "Terrestrial Wireless Networks." Scientific American 278, no. 4 (1998): 86–91. http://dx.doi.org/10.1038/scientificamerican0498-86.

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39

Logrippo, Luigi, and John Visser. "Future wireless networks." Computer Networks 34, no. 5 (2000): 701–3. http://dx.doi.org/10.1016/s1389-1286(00)00123-7.

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40

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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41

Saurabh Jain and D. P. Agrawal. "Wireless community networks." Computer 36, no. 8 (2003): 90–92. http://dx.doi.org/10.1109/mc.2003.1220588.

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42

Varshney, Upkar. "4G Wireless Networks." IT Professional 14, no. 5 (2012): 34–39. http://dx.doi.org/10.1109/mitp.2012.71.

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43

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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44

M, Kishor, and Bhuvana . "5G Wireless Networks." International Journal of Innovative Research in Computer and Communication Engineering 12, no. 05 (2024): 6283–86. http://dx.doi.org/10.15680/ijircce.2024.1205190.

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Abstract (sommario):
5G stands for fifth-generation remote innovation. It is the most recent cycle of cellular innovation that has three primary highlights: more noteworthy speed, lower idleness, and the capacity to interface a parcel more gadgets at the same time. A commercial 5G remote arrange is anticipated to be conveyed by 2020. This paper gives a brief presentation to 5G remote technology. Keywords: 5G remote innovation, advancement from 1G to 5G
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45

Pranjali, V. Gurnule. "Wireless Jamming Networks." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1931–35. https://doi.org/10.31142/ijtsrd14455.

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Abstract (sommario):
A mobile jammer is a device which is used to jam signals of a cell phone from receiving signals from base stations. Mobile jammer is used majorly where the disturbances that are occurred with the cell phones. So, in this paper we are designing a new Mobile Jammer unit which is capable of blocking the working of a cell phone from not receiving signal from Base Station. This was implemented using FPGA by interfacing Mobile Device, RF Transmitter and RF Receiver and LCD Unit. Keywords-Jammers, Mobile Jammer, FPGA, RF Transmitter, RF Receiver, LCD Pranjali V Gurnule "Wireless Jamming Networks
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46

Asundi, Satyanarayana. "Wireless Networks Encryption." International Journal on Recent and Innovation Trends in Computing and Communication 9, no. 9 (2021): 27–32. https://doi.org/10.17762/ijritcc.v9i9.11396.

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The COVID 19 pandemic has brought with it a lot of disruptions to the way people conduct their day-to-day activities. One of the disruptions that has been obtained is the way people work. Because of the need to maintain social distance to manage the spread of the disease, many companies have advised their employees to work remotely from their homes. This has brought about many issues of data management and security. Technology giant Apple is one of the companies that has had to make numerous changes to the way their devices operate to maintain confidentiality, integrity, and availability of da
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Ramzan, M., and Javed Ahmed Shaheen. "Comparison: 3G Wireless Networks with 4G Wireless Networks Technology Wise." International Journal of Advanced Science and Technology 108 (November 30, 2017): 1–10. http://dx.doi.org/10.14257/ijast.2017.108.01.

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48

Ulema, Mehmet, Jose Marcos Nogueira, and Barcin Kozbe. "Management of Wireless Ad Hoc Networks and Wireless Sensor Networks." Journal of Network and Systems Management 14, no. 3 (2006): 327–33. http://dx.doi.org/10.1007/s10922-006-9033-x.

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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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Abstract (sommario):
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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Shaik, Riaz, and Shaik Shakeel Ahamad. "Security Attacks and Challenges of Wireless Sensor Network’s -a Review." International Journal of Engineering & Technology 7, no. 2.32 (2018): 136. http://dx.doi.org/10.14419/ijet.v7i2.32.15387.

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Abstract (sommario):
Wireless sensor networks are becoming part of many of the research areas to address different issues related to technological and societal. So, The developments in wireless communication technology have made the deployment of wireless sensor nodes connected through wireless medium, known as wireless sensor networks. Wireless sensor networks have numerous applications in many fields like military , environmental monitoring , health , industry etc.. wireless sensor networks have more benefits over Wired networks .Though there are several advantages of wireless networks, they are prone to securit
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