Academic literature on the topic 'Wireless and avoidance'

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Journal articles on the topic "Wireless and avoidance"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Wireless and avoidance"

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Rennæs, Karsten Fernholt. "Wireless Positioning and Collision Avoidance System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19205.

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Early in the 1980's Jens G. Balchen wanted to create an autonomous bike, capable of driving without any help from supporting wheels or human interaction. The intriguing idea included a variety of complicated concepts and was at that time almost an impossible task to accomplish. As time progressed and both technology and equipment developed, the possibility of a driverless bike becomes more than just an idea. The Norwegian University of Science and Technology (NTNU) has during the later years dedicated resources, time and effort in making a reality of the concept through the project named
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Ahmad, Mohammad. "CONGESTION AVOIDANCE AND FAIRNESS IN WIRELESS SENSOR NETWORKS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2753.

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Sensor network congestion avoidance and control primarily aims to reduce packet drops while maintaining fair bandwidth allocation to existing network flows. The design of a congestion control algorithm suited for all types of applications in sensor networks is a challenging task due to the application-specific nature of these networks. With numerous sensors transmitting data simultaneously to one or more base stations (also called sinks), sensor nodes located near the base station will most likely experience congestion and packet loss. In this thesis, we propose a novel distributed congestion
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Eames, Adam McLendon. "Enabling path planning and threat avoidance with wireless sensor networks." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33277.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 67-68).<br>Wireless sensor networks can provide real time navigation instructions to robots or people attempting to travel in hazardous environments. This thesis presents the design, analysis, and implementation of a distributed system providing path planning and threat avoidance capability to mobile users. Contributions of the system include a unique framework for modeling for the effects of threats as well as original algorithms for d
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Ali, Mohamad Jaafar. "Wireless body area networks : co-channel interference mitigation & avoidance." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB252/document.

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L’amélioration de la qualité et de l’efficacité en santé est un réel enjeu sociétal. Elle implique la surveillance continue des paramètres vitaux ou de l’état mental du sujet. Les champs d’applications sont vastes : l’application la plus importante est la surveillance des patients à distance. Les avancées en micro-électronique, capteurs et réseaux sans-fil permettent aujourd’hui le développement de systèmes ambulatoires performants pour le monitoring de paramètres physiologiques, capables de prendre en compte d’importantes contraintes techniques : forte intégration pour la réduction de la tail
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Ali, Mohamad Jaafar. "Wireless body area networks : co-channel interference mitigation & avoidance." Electronic Thesis or Diss., Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB252.

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L’amélioration de la qualité et de l’efficacité en santé est un réel enjeu sociétal. Elle implique la surveillance continue des paramètres vitaux ou de l’état mental du sujet. Les champs d’applications sont vastes : l’application la plus importante est la surveillance des patients à distance. Les avancées en micro-électronique, capteurs et réseaux sans-fil permettent aujourd’hui le développement de systèmes ambulatoires performants pour le monitoring de paramètres physiologiques, capables de prendre en compte d’importantes contraintes techniques : forte intégration pour la réduction de la tail
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Murawski, Robert. "Practical Interference Avoidance Protocols for Cognitive Radio Networks." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1314632531.

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Al-Azzawi, Waleed. "Robust controller for delays and packet dropout avoidance in solar-power wireless network." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9026.

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Solar Wireless Networked Control Systems (SWNCS) are a style of distributed control systems where sensors, actuators, and controllers are interconnected via a wireless communication network. This system setup has the benefit of low cost, flexibility, low weight, no wiring and simplicity of system diagnoses and maintenance. However, it also unavoidably calls some wireless network time delays and packet dropout into the design procedure. Solar lighting system offers a clean environment, therefore able to continue for a long period. SWNCS also offers multi Service infrastructure solution for both
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Jacob, Jobin. "Transmission error analysis and avoidance for IEEE 802.15.4 wireless sensors on rotating structures." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1239896423/.

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Vedantham, Ramanuja. "Energy-Efficient Network Protocols for Wireless Sensor and Actor Networks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13959.

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Wireless sensor networks (WSNs) have a wide variety of applications in civilian, medical and military applications. However, the nodes in such a network are limited to one type of action: sensing the environment. With increasing requirements for intelligent interaction with the environment, there is a need to not only perceive but also control the monitored environment. This has led to the emergence of a new class of networks, referred to as wireless sensor and actor networks (WSANs), capable of performing both sensing and acting tasks on the environment. The evolution from WSNs, which can be
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Kim, Jinho D. "Centralized random backoff for collision free wireless local area networks." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31055.

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Over the past few decades, wireless local area networks (WLANs) have been widely deployed for data communication in indoor environments such as offices, houses, and airports. In order to fairly and efficiently use the unlicensed frequency band that Wi-Fi devices share, the devices follow a set of channel access rules, which is called a wireless medium access control (MAC) protocol. It is known that wireless devices following the 802.11 standard MAC protocol, i.e. the distributed coordination function (DCF), suffer from packet collisions when multiple nodes simultaneously transmit. This signifi
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Books on the topic "Wireless and avoidance"

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1957-, Rose Christopher, ed. Interference avoidance methods for wireless systems. Kluwer Academic/Plenum, 2004.

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Naja, Rola, ed. Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6.

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Naja, Rola. Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013.

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Interference Avoidance Methods for Wireless Systems. Kluwer Academic Publishers, 2004. http://dx.doi.org/10.1007/b105850.

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Rose, Christopher, and Dimitrie Popescu. Interference Avoidance Methods for Wireless Systems. Springer London, Limited, 2006.

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Popescu, Dimitrie. Interference Avoidance Methods for Wireless Systems. Springer, 2013.

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Wireless Vehicular Networks For Car Collision Avoidance. Springer, 2012.

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Naja, Rola. Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2015.

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Popescu, Dimitrie, and Christopher Rose. Interference Avoidance Methods for Wireless Systems (Information Technology: Transmission, Processing and Storage). Springer, 2004.

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Delgrossi, Luca, and Tao Zhang. Vehicle Safety Communications: Protocols, Security, and Privacy. Wiley & Sons, Incorporated, John, 2012.

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Book chapters on the topic "Wireless and avoidance"

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Shi, Gaotao, and Keqiu Li. "Interference Avoidance in ZigBee Networks." In Wireless Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47806-7_4.

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Lyu, Feng, Minglu Li, and Xuemin Shen. "Mobility-Aware and Collision-Avoidance MAC Design." In Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51229-3_3.

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Kulkarni, Ashish A., and D. V. Thombre. "Interference avoidance in wireless systems." In Thinkquest~2010. Springer India, 2011. http://dx.doi.org/10.1007/978-81-8489-989-4_27.

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Ko, Young-Bae, Sung-Ju Lee, and Jun-Beom Lee. "Ad Hoc Routing with Early Unidirectionality Detection and Avoidance." In Personal Wireless Communications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30199-8_12.

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Bujari, Armir, and Claudio E. Palazzi. "Intersection Collision: Causes and Avoidance Techniques." In Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6_7.

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Nikoletseas, Sotiris, and Olivier Powell. "Obstacle Avoidance Algorithms in Wireless Sensor Networks." In Encyclopedia of Algorithms. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_262.

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Hu, Siquan, and Mehul Motani. "Early Overhearing Avoidance in Wireless Sensor Networks." In NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79549-0_3.

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Nikoletseas, Sotiris, and Olivier Powell. "Obstacle Avoidance Algorithms in Wireless Sensor Networks." In Encyclopedia of Algorithms. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_262.

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Nekovee, Maziar, and Jing Bie. "Rear-End Collision: Causes and Avoidance Techniques." In Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6_4.

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Taghizadeh, Mahmoud, Subir Biswas, and Francois Dion. "Chain Collision Accident: Causes and Avoidance Techniques." In Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6_5.

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Conference papers on the topic "Wireless and avoidance"

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Mao, Junteng, Ziye Jia, Hanzhi Gu, et al. "Robust UAV Path Planning with Obstacle Avoidance for Emergency Rescue." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978825.

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Lee, Gong-Yi, and Jyi Shane Liu. "Vision-Based Autonomous UAV Low-Altitude Road Following and Obstacle Avoidance." In 2024 33rd Wireless and Optical Communications Conference (WOCC). IEEE, 2024. https://doi.org/10.1109/wocc61718.2024.10786036.

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Baron-Hyppolite, Adrian, Joao F. Santos, Luiz DaSilva, and Jacek Kibiłda. "Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based MmWave Communications." In 2024 19th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2024. http://dx.doi.org/10.1109/iswcs61526.2024.10639164.

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Zhou, Shanyu, Hulya Seferoglu, and Erdem Koyuncu. "Blocking avoidance in wireless Networks." In 2016 Information Theory and Applications (ITA). IEEE, 2016. http://dx.doi.org/10.1109/ita.2016.7888173.

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Lacatus, Catalin, Dimitrie C. Popescu, and Mehdi Shadaram. "Feedback Requirements for Greedy Interference Avoidance." In 2007 IEEE Radio and Wireless Symposium. IEEE, 2007. http://dx.doi.org/10.1109/rws.2007.351848.

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Kim, Jungsook, and Juwan Kim. "Intersection collision avoidance using Wireless sensor network." In 2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES). IEEE, 2009. http://dx.doi.org/10.1109/icves.2009.5400226.

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Khasawneh, Fawaz A., Abderrahmane Benmimoune, Michel Kadoch, and Mohammed A. Khasawneh. "Predictive Congestion Avoidance in Wireless Mesh Network." In 2015 3rd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2015. http://dx.doi.org/10.1109/ficloud.2015.69.

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Chen, C. C., E. Seo, H. Kim, and H. Luo. "Self-Learning Collision Avoidance for Wireless Networks." In Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. IEEE, 2006. http://dx.doi.org/10.1109/infocom.2006.315.

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Peng, Jun. "Broadcast Collision Avoidance in Wireless Packet Networks." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317925.

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Lacatus, Catalin, and Dimitrie C. Popescu. "Adaptive Interference Avoidance for Dynamic Wireless Systems." In 2007 4th IEEE Consumer Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/ccnc.2007.37.

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Reports on the topic "Wireless and avoidance"

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Stephenson, Andrew J. Sinkhole Avoidance Routing in Wireless Sensor Networks. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada554671.

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Garcia-Luna-Aceves, J. J., and Asimakis Tzamaloukas. Reversing the Collision-Avoidance Handshake in Wireless Networks. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada461595.

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Wang, Yu, and J. J. Garcia-Luna-Aceves. Modeling of Collision Avoidance Protocols in Single-Channel Multihop Wireless Networks. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada461651.

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He, Zhitong, Abin Mathew, Abhijeet Ingale, Jue Zhou, Feng Li, and Yaobin Chen. Traffic Management Geocast Study with Connected Vehicles on Indiana Highways. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317753.

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Vehicular communication allows vehicles to interact with road users, roadside infrastructure, and cloud-connected devices. It holds a crucial position in modern transportation systems, impacting both fundamental and advanced aspects and enhancing traffic safety and efficiency. C-V2X is a wireless communication technology that uses cellular networks to enable communication between vehicles and infrastructure. C-V2X can be used for applications such as collision avoidance, traffic management, and remote vehicle diagnostics. This project conducted a feasibility study on the current position of C-
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