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Journal articles on the topic 'Wireless and avoidance'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Rose, C., S. Ulukus, and R. D. Yates. "Wireless systems and interference avoidance." IEEE Transactions on Wireless Communications 1, no. 3 (2002): 415–28. http://dx.doi.org/10.1109/twc.2002.800540.

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2

Neha, Yadav, Jahnavi Maudhoo, and Griyagya Krishanu. "VEHICLE TO VEHICLE COMMUNICATION FOR COLLISION AVOIDANCE." International Journal of Advanced Trends in Engineering and Technology 3, no. 1 (2018): 156–58. https://doi.org/10.5281/zenodo.1285139.

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This paper exhibits the particular use of remote correspondence, Automotive Wireless Communication additionally called as Vehicle-to-Vehicle Communication. The paper first gives a prologue to the Automotive Wireless Communication. It clarifies the innovation utilized for Automotive Wireless Communication alongside the different car applications depending on remote correspondence. Vehicle-to-Vehicle correspondence is the remote transmission of information between engine vehicles in a continuous. The fundamental point of V2V correspondence is to counteract mishaps by enabling vehicles in travel

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3

S, Nouhfa Juhiya, and Divya R. "Congestion Avoidance for Multi-Hop Wireless Network." IJARCCE 6, no. 4 (2014): 917–22. http://dx.doi.org/10.17148/ijarcce.2017.64171.

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4

Thrimoorthy, N., and T. Anuradha. "Congestion Avoidance Routing in Wireless Sensor Networks." International Journal of Computer Applications 141, no. 5 (2016): 15–19. http://dx.doi.org/10.5120/ijca2016909621.

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5

Li, Biqing, Miao Tian, Shiyong Zheng, and Yongfa Ling. "Design and Research of Picking Manipulator Obstacle Avoidance System Based on IOT." International Journal of Online Engineering (iJOE) 14, no. 03 (2018): 152. http://dx.doi.org/10.3991/ijoe.v14i03.8423.

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<p>In recent years, wireless communication technology has developed rapidly and the speed of wireless communication data transmission is faster and faster, as well as remote control delay has greatly reduced, which is almost negligible, so the remote control is gradually being widely used in various fields. This paper achieves the motion control of picking manipulator and obstacle avoidance system with the advantages of IOT remote control technology and PLC real-time control system. Experiments show that the designed picking manipulator motion control and obstacle avoidance system not on

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6

MR Christhuraj, Manikandan TT, Saravanan M, Rajeev Sukumaran,. "MAC Layer Communication Protocol design using Stochastic Network Calculusfor Underwater Agriculture Farming." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (2021): 223–30. http://dx.doi.org/10.17762/turcomat.v12i5.879.

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: The hazardous in seawater network, channel utilization, and MAC layer protocol design induces the research challenges and opportunities of underwater acoustic communications, particularly in terms of throughput and transmission delay. In this research work, we propose the delay-tolerant MAC protocol with collision avoidance. Under_Water Medium Access control and Collision Avoidance -Wireless protocol (UWMACA-W) proposed for underwater Agriculture Farming. This research work also has compared the performance of the UWMACA-Wireless protocol with and without SNC. The growth of the plants inside

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7

Ünal, İlker, Önder Kabaş, Osman Eceoğlu, and Georgiana Moiceanu. "Adaptive Multi-Robot Communication System and Collision Avoidance Algorithm for Precision Agriculture." Applied Sciences 13, no. 15 (2023): 8602. http://dx.doi.org/10.3390/app13158602.

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In precision farming technology, the interest of the researchers has been focused on the applications of autonomous mobile robots for agricultural operations such as planting, inspection, spraying, and harvesting. However, each autonomous robot generally performs a single agricultural task. In this context, complete autonomy in precision farming can be achieved by using coordinated multi-robot systems that can easily and safely cooperate to accomplish agricultural tasks. The efficiency of the multi-robot system depends on the number of robots, the size of the robots, the distance between each

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8

Guowang Miao, Ye Li, N. Himayat, and S. Talwar. "Cochannel interference avoidance MAC in wireless cellular networks." IEEE Transactions on Communications 57, no. 11 (2009): 3897–405. http://dx.doi.org/10.1109/tcomm.2009.11.080281.

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9

Chun-Cheng Chen, Eunsoo Seo, Hwangnam Kim, and Haiyun Luo. "SELECT: Self-Learning Collision Avoidance for Wireless Networks." IEEE Transactions on Mobile Computing 7, no. 3 (2008): 305–21. http://dx.doi.org/10.1109/tmc.2007.70723.

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10

Grinshpoun, Tal, Amnon Meisels, and Eyal Felstaine. "Avoidance of misbehaving nodes in wireless mesh networks." Security and Communication Networks 7, no. 7 (2013): 1096–114. http://dx.doi.org/10.1002/sec.841.

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11

Vedantham, Ramanuja, Zhenyun Zhuang, and Raghupathy Sivakumar. "Hazard avoidance in wireless sensor and actor networks." Computer Communications 29, no. 13-14 (2006): 2578–98. http://dx.doi.org/10.1016/j.comcom.2006.02.012.

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12

Dr., Atul M. Gosai, and M. Raval Lakshdeep. "Grid Based Multipath with Congestion Avoidance Routing Protocol." International Journal of Trend in Scientific Research and Development 1, no. 3 (2017): 8–16. https://doi.org/10.31142/ijtsrd72.

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This Paper gives information about Grid base multipath wireless sensor network. We give a brief introduction about wireless sensor network, how sensor works in this network. How the Routing is done and if there is congestion detected in sensors networks and then how it can be solved. Routing protocols are also classified in several types like Proactive, Reactive, and Hybrid in also given here the details of that. Also here we describe various routing techniques like Traditional and Current techniques. In flooding based techniques, sensor broadcast the information and the destination sensor rec

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13

Huo, Chao. "Design of a wireless communication system for distribution monitoring." Journal of Physics: Conference Series 2290, no. 1 (2022): 012124. http://dx.doi.org/10.1088/1742-6596/2290/1/012124.

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Abstract According to the requirements of wireless communication in medium and low voltage distribution monitoring system, this paper designs a wireless signal networking method at medium and low voltage distribution side, and analyzes the networking mechanism between each protocol layer, including important wireless avoidance mechanism, networking mechanism of network layer and application layer. Aiming at the problem of network connectivity, a wireless networking algorithm based on optimal distance is proposed, and other common wireless networking algorithms are studied at the same time. The

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14

Fang, Wei-wei, Ji-ming Chen, Lei Shu, Tian-shu Chu, and De-pei Qian. "Congestion avoidance, detection and alleviation in wireless sensor networks." Journal of Zhejiang University SCIENCE C 11, no. 1 (2009): 63–73. http://dx.doi.org/10.1631/jzus.c0910204.

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15

Hur, Kyeong, Won-Sung Sohn, and YangSun Lee. "A Conflict Avoidance Scheme for WiMedia Wireless Home Networks." International Journal of Distributed Sensor Networks 9, no. 3 (2013): 579795. http://dx.doi.org/10.1155/2013/579795.

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16

Li, Shanshan. "Congestion Avoidance, Detection and Mitigation in Wireless Sensor Networks." Journal of Computer Research and Development 44, no. 8 (2007): 1348. http://dx.doi.org/10.1360/crad20070810.

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17

Bertossi, Alan A., Cristina M. Pinotti, Romeo Rizzi, and Anil M. Shende. "Channel assignment for interference avoidance in honeycomb wireless networks." Journal of Parallel and Distributed Computing 64, no. 12 (2004): 1329–44. http://dx.doi.org/10.1016/j.jpdc.2004.06.006.

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18

An, Peng. "Obstacle Avoidance Strategy of Mobile Robot Based on Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 11 (2016): 10. http://dx.doi.org/10.3991/ijoe.v12i11.6230.

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In order to improve the real time performance, accuracy and stability, an obstacle avoidance strategy of mobile robot based on wireless sensor networks is proposed in this paper. The algorithm is combined with fuzzy control and neural network control theory which can express those rules difficult to describe by using mathematical model. Simulation results show that the obstacle avoidance strategy can improve the overall system performance substantially and is suitable for mobile robot intelligent control.

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19

Mankiran, Kaur, and Kaur Jagjit. "Security Technique and Congestion Avoidance in Mesh Network." International Journal of Trend in Scientific Research and Development 1, no. 6 (2017): 1080–84. https://doi.org/10.31142/ijtsrd4690.

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Security in wireless network is one of the prime concern in today's Information Age, where information is an asset not only to an organisation but also to an individual. Security to a great extent is able to protect the network from various unauthorized attacks. On the other side implementation of security mechanisms also causes an overhead in terms of increased load in the network. Further the increased load in the network paves path to congestion which degrades the performance of the wireless network. In this paper we try to highlight various challenges pertaining to security in mesh net

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20

Choi, Yunyoung, Jaehyung Park, Jiwon Jung, and Younggoo Kwon. "Collision Avoidance Geographic P2P-RPL in Multi-Hop Indoor Wireless Networks." Electronics 10, no. 12 (2021): 1484. http://dx.doi.org/10.3390/electronics10121484.

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In home and building automation applications, wireless sensor devices need to be connected via unreliable wireless links within a few hundred milliseconds. Routing protocols in Low-power and Lossy Networks (LLNs) need to support reliable data transmission with an energy-efficient manner and short routing convergence time. IETF standardized the Point-to-Point RPL (P2P-RPL) routing protocol, in which P2P-RPL propagates the route discovery messages over the whole network. This leads to significant routing control packet overhead and a large amount of energy consumption. P2P-RPL uses the trickle a

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21

Cho, Hyunchong, Seungmin Oh, Yongje Shin, and Euisin Lee. "Energy-Efficient and Disjoint Multipath Using Face Routing in Wireless Sensor Networks." Energies 14, no. 22 (2021): 7823. http://dx.doi.org/10.3390/en14227823.

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In WSNs, multipath is well-known as a method to improve the reliability of packet delivery by making multiple routes from a source node to a destination node. To improve reliability and load-balancing, it is important to ensure that disjoint characteristics of multipath do not use same nodes during path generation. However, when multipath studies encounter a hole area from which is hard to transmit data packets, they have a problem with breaking the disjoint features of multipath. Although existing studies propose various strategies to bypass hole areas, they have side effects that significant

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22

Chen, C. W., P. H. Hsieh, and W. H. Lai. "APPLICATION OF DECISION TREE ON COLLISION AVOIDANCE SYSTEM DESIGN AND VERIFICATION FOR QUADCOPTER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 23, 2017): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-71-2017.

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The purpose of the research is to build a collision avoidance system with decision tree algorithm used for quadcopters. While the ultrasonic range finder judges the distance is in collision avoidance interval, the access will be replaced from operator to the system to control the altitude of the UAV. According to the former experiences on operating quadcopters, we can obtain the appropriate pitch angle. The UAS implement the following three motions to avoid collisions. Case1: initial slow avoidance stage, Case2: slow avoidance stage and Case3: Rapid avoidance stage. Then the training data of c

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23

Lee, Ji Hoon, and Eugene Rhee. "Efficient Beacon Collision Detection/Avoidance Mechanism in WLAN-Based Mesh Networks." Advanced Materials Research 684 (April 2013): 501–4. http://dx.doi.org/10.4028/www.scientific.net/amr.684.501.

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Every node in wireless multi-hop mesh networks periodically transmits its own beacon and then monitors the existence or activity of other nodes by checking their beacons. So, the loss of beacon message in wireless multi-hop mesh networks causes the inefficient network overhead. This paper proposed a dynamic beacon collision detection and avoidance (BCDA) mechanism that can actively adapt to beacon collision status due to node movement. Each node checks the collision status by comparing the received beacon timing information from neighboring nodes with that of its own. It is shown from the perf

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24

V., Manju Barkavi, and S. Varathaganapathy Dr. "ENERGYHOLE AND COVERAGE HOLE AVOIDANCE IN UNDERWATER WIRELESS SENSOR NETWORKS." International Journal of Advanced Trends in Engineering and Technology 1, no. 2 (2017): 53–60. https://doi.org/10.5281/zenodo.345986.

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Underwater Wireless Sensor Networks (UWSNs) play an important role as these deploy underwater sensors (nodes) to monitor the parameters of interest. The sensed information is then sent to off-shore sink(s) where it is interpreted to take proper actions. Underwater communication is carried via acoustic modems and communication above the surface of water is carried via radio modems. Due to the limited battery capacity of sensor nodes, minimization of energy consumption is a potential research area in underwater wireless sensor networks (UWSNs). Here it addresses the energy hole creation issue in

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25

Sun, Hongliang, Xuefen Chi, and Baozhu Yu. "A Grouping Algorithm for Random Access Networks and Supermartingale Evaluation." Wireless Communications and Mobile Computing 2022 (September 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/2554226.

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Wireless communications play a critical role in the applications of Internet of Things (IoT). The Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) is a well-proven wireless random access protocol. A crucial factor affecting the performance of random access networks is “hidden node collision,” which incurs performance degradation and lower resource utilization. Grouping is an efficient strategy for hidden node avoidance. In current IoT networks, the terminals usually have different traffic load, so load balance should be considered when grouping algorithm is designed. To mitigate hid

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26

Mhemed, Rogaia, Frank Comeau, William Phillips, and Nauman Aslam. "Void Avoidance Opportunistic Routing Protocol for Underwater Wireless Sensor Networks." Sensors 21, no. 6 (2021): 1942. http://dx.doi.org/10.3390/s21061942.

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Much attention has been focused lately on the Opportunistic Routing technique (OR) that can overcome the restrictions of the harsh underwater environment and the unique structures of the Underwater Sensor Networks (UWSNs). OR enhances the performance of the UWSNs in both packet delivery ratio and energy saving. In our work; we propose a new routing protocol; called Energy Efficient Depth-based Opportunistic Routing with Void Avoidance for UWSNs (EEDOR-VA), to address the void area problem. EEDOR-VA is a reactive OR protocol that uses a hop count discovery procedure to update the hop count of t

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27

H., A., and A. M. "Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance." International Journal of Computer Applications 170, no. 8 (2017): 20–24. http://dx.doi.org/10.5120/ijca2017914927.

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28

RAMAKRISHNAN, M., and V. P. RANJAN. "Adaptive Power Control with Overhearing Avoidance for Wireless Sensor Networks." Advances in Electrical and Computer Engineering 10, no. 3 (2010): 84–91. http://dx.doi.org/10.4316/aece.2010.03014.

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29

Chen, Jiongyong, and Li Ma. "Bank Credit Risk Avoidance and Countermeasures Based on Wireless Communication." Scientific Programming 2022 (March 17, 2022): 1–7. http://dx.doi.org/10.1155/2022/7793088.

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Credit risk management refers to the main operating risks faced by banks, and its effective management is directly related to the bank’s operating performance. The main link of the credit risk management system is the measurement of bank credit risk, and this connection will run through the entire process of the bank’s credit risk management system. The measurement results directly affect the actual operation of the bank and therefore also affect risk management and business management. This article aims to study bank credit risk management in the context of wireless communication and big data

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30

Ramakrishn, M., and P. Vanaja Ranjan. "Optimal Power Control with Overhearing Avoidance for Wireless Sensor Networks." Journal of Computer Science 5, no. 4 (2009): 297–301. http://dx.doi.org/10.3844/jcs.2009.297.301.

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31

Kim, Jin-Woo, Kyung-Ho Kim, and Seong Ro Lee. "Relay Communication Scheme for Conflict Avoidance in Wireless USB System." Journal of Korea Information and Communications Society 39C, no. 8 (2014): 696–707. http://dx.doi.org/10.7840/kics.2014.39c.8.696.

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32

Ramakrishnan. "Optimal Power Control with Overhearing Avoidance for Wireless Sensor Networks." Journal of Computer Science 5, no. 4 (2009): 297–301. http://dx.doi.org/10.3844/jcssp.2009.297.301.

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33

Jayakumari. "PRIORITY BASED CONGESTION DETECTION AND AVOIDANCE IN WIRELESS SENSOR NETWORKS." Journal of Computer Science 9, no. 3 (2013): 350–57. http://dx.doi.org/10.3844/jcssp.2013.350.357.

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34

B, Santhana, and Ramaswamy M. "Cluster Based Congestion Avoidance Strategy for Layered Wireless Sensor Network." International Journal of Intelligent Engineering and Systems 7, no. 4 (2014): 1–7. http://dx.doi.org/10.22266/ijies2014.1231.01.

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35

Gil Jiménez, Víctor P., and M. Julia Fernández-Getino García. "Simple Design of Wireless Sensor Networks for Traffic Jams Avoidance." Journal of Sensors 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/380794.

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Intelligent transportation systems (ITS) are usually approached by exhaustive measuring and complex signal processing including medium-high cost hardware deployment. In this paper, a novel design of a wireless sensor network system using magnetometers and microphones for the detection and avoidance of traffic jams is described and analyzed. The system, which can also be used for traffic monitoring and surveillance, is simple, energy efficient, and accurate which allows to be implemented with a reduced hardware cost. In order to reduce the maintenance tasks, mini solar panels would also be inst

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36

Ginting, Lorenz, Hyun Sik Yoon, Dong In Kim, and Kae Won Choi. "Beam Avoidance for Human Safety in Radiative Wireless Power Transfer." IEEE Access 8 (2020): 217510–25. http://dx.doi.org/10.1109/access.2020.3042184.

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37

Misra, Sudip, Ayan Mondal, Prasenjit Bhavathankar, and Mohamed-Slim Alouini. "M-JAW: Mobility-Based Jamming Avoidance in Wireless Sensor Networks." IEEE Transactions on Vehicular Technology 69, no. 5 (2020): 5381–90. http://dx.doi.org/10.1109/tvt.2020.2982966.

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38

Gu, Qianrong, Hongying Zuo, Ruidan Su, Kunlin Zhang, and Huaiyu Xu. "A Wireless Subway Collision Avoidance System Based on Zigbee Networks." Journal of Communications 8, no. 9 (2013): 561–65. http://dx.doi.org/10.12720/jcm.8.9.561-565.

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39

Jiancong Chen, S. H. G. Chan, Qian Zhang, Wen-Wu Zhu, and Jin Chen. "Pasa: power adaptation for starvation avoidance to deliver wireless multimedia." IEEE Journal on Selected Areas in Communications 21, no. 10 (2003): 1663–73. http://dx.doi.org/10.1109/jsac.2003.815225.

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40

Pa, Son, Satria Mandala, and Adiwijaya. "A new method for congestion avoidance in wireless mesh networks." Journal of Physics: Conference Series 1192 (March 2019): 012062. http://dx.doi.org/10.1088/1742-6596/1192/1/012062.

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41

MAMUN-OR-RASHID, Md, M. M. ALAM, Md A. RAZZAQUE, and C. S. HONG. "Congestion Avoidance and Fair Event Detection in Wireless Sensor Network." IEICE Transactions on Communications E90-B, no. 12 (2007): 3362–72. http://dx.doi.org/10.1093/ietcom/e90-b.12.3362.

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42

Bertossi, A. A., C. M. Pinotti, and R. B. Tan. "Channel assignment with separation for interference avoidance in wireless networks." IEEE Transactions on Parallel and Distributed Systems 14, no. 3 (2003): 222–35. http://dx.doi.org/10.1109/tpds.2003.1189581.

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43

Liu, Li, Guangjie Han, Hao Wang, and Jiafu Wan. "Obstacle-avoidance minimal exposure path for heterogeneous wireless sensor networks." Ad Hoc Networks 55 (February 2017): 50–61. http://dx.doi.org/10.1016/j.adhoc.2016.09.006.

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44

Kim, Eui-Jik, Sungkwan Youm, Taeshik Shon, and Chul-Hee Kang. "Asynchronous inter-network interference avoidance for wireless body area networks." Journal of Supercomputing 65, no. 2 (2012): 562–79. http://dx.doi.org/10.1007/s11227-012-0840-4.

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45

Samanta, Abhishek, and Dripto Bakshi. "Fault Tolerant Wireless Sensor Mac Protocol for Efficient Collision Avoidance." International Journal on Applications of Graph Theory In wireless Ad Hoc Networks And sensor Networks 2, no. 2 (2010): 46–59. http://dx.doi.org/10.5121/jgraphoc.2010.2205.

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46

Ouyang, Yiming, Qi Wang, Lizhu Hu, and Huaguo Liang. "DVFS Based Error Avoidance Strategy in Wireless Network-on-Chip." Journal of Electronic Testing 35, no. 6 (2019): 767–77. http://dx.doi.org/10.1007/s10836-019-05841-9.

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47

Songchitruksa, Praprut, Srinivasa Sunkari, Ines Ugalde, Justinian Rosca, and Juan Aparicio Ojea. "Interlinking Vissim and ns-3 for Connected Vehicle Simulation: Case Study of Intelligent Dilemma Zone Avoidance." Transportation Research Record: Journal of the Transportation Research Board 2619, no. 1 (2017): 36–43. http://dx.doi.org/10.3141/2619-04.

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The effects of realistic wireless communication are important for the modeling and evaluation of emerging connected and automated vehicle applications. This paper discusses the development of a novel closed-loop connected vehicle analysis system (CONVAS) interlinking Vissim microscopic traffic simulation and ns-3 wireless communication simulation. In CONVAS, ns-3 uses Vissim’s vehicle positions for wireless modeling and in turn Vissim uses the packet reception from ns-3 to modify vehicle behaviors. The authors propose an application for intelligent avoidance of the dilemma zone to demonstrate

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48

Li, Jingmin. "Path Planning of Industrial Wheeled Robots Based on Wireless Communication and Machine Learning Algorithms." Mobile Information Systems 2022 (March 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/3386116.

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With the advancement of science and technology, robotics has made considerable progress. Robots can free humans from heavy repetitive labor. From the industrial field to the lives of the general public, robots are playing an increasingly important role. Path planning is one of the core contents of industrial wheeled robotics and has very important significance. Based on the reinforcement Q learning and BP network, this work studies the path planning of industrial wheeled robots. According to task requirements of path planning, design learning strategies, and control rules, use wireless communi

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49

Moldovan, Christian, Silas Ulrich, Volker Köster, Janis Tiemann, and Andreas Lewandowski. "Advancing Digital Twin-Based Collision Avoidance: A Comprehensive Analysis of Communication Networks for Safety-Critical Applications in Industry 4.0." Sensors 24, no. 5 (2024): 1405. http://dx.doi.org/10.3390/s24051405.

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This study presents a theoretical framework for defining the performance level of wireless safety functions within industrial environments. While acknowledging the simplifications inherent in our approach—primarily based on packet loss rates as a measure of system performance—the study underscores the dynamic challenges posed by real-world warehouses. Through an in situ measurement study of a forklift truck safety system, we validate the proposed method and emphasize the need for a more nuanced examination of wireless communication in complex settings. The study advocates for an expanded theor

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50

Kamali, K., and Dr K. Selvakumar. "Cross-layer based Mobility-Aware Backoff Algorithm for Collision Avoidance in Wireless Ad hoc Networks." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (2019): 328–36. http://dx.doi.org/10.5373/jardcs/v11sp12/20193228.

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