Smart City Gnosys

Smart city article details

Title The Study Of Cluster-Based Energy-Efficient Algorithms Of Flying Ad-Hoc Networks
ID_Doc 56941
Authors Sharma A.; Sharma S.; Singh P.
Year 2023
Published Lecture Notes in Networks and Systems, 681
DOI http://dx.doi.org/10.1007/978-981-99-1909-3_1
Abstract In the Internet of Things, cloud computing cannot handle data due to its high latency, since a growing number of physical objects and sensors are connected to the Internet. IoT-based ad-hoc networks are local area networks that are created spontaneously as devices connect. Designed for industrial use, it is deployable and configurable. As UAVs communicate and collaborate wirelessly, they establish a flying ad-hoc network (FANET). Urban public infrastructure and services, such as transportation and governance, can be transformed by utilizing FANET-based Internet of Things (IoT). Sensor-based data collection can be performed on the fly without the need for hardware to support a wide range of applications, such as automated transportation, smart agriculture, disaster management, security, smart cities, smart housing, smart freight, smart governance, smart mobility and smart surveillance. In this paper, we have proposed a comprehensive analysis of the cluster-based and the non-cluster-based routing protocols with regard to their parameters, methods, metrics, applications and the workings. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords Ad-Hoc networks; Cluster based; Energy efficient; FANETs; IoT; Routing protocols; Wireless sensor network


Similar Articles


Id Similarity Authors Title Published
5415 View0.912Kumar S.; Prajapati M.; Rathore N.K.; Anand S.K.A Systematic Approach Of A Flying Ad-Hoc Network For Smart CitiesHandbook of Research on Data-Driven Mathematical Modeling in Smart Cities (2023)
26108 View0.878Siddiqi M.H.; Draz U.; Ali A.; Iqbal M.; Alruwaili M.; Alhwaiti Y.; Alanazi S.Fanet: Smart City Mobility Off To A Flying Start With Self-Organized Drone-Based NetworksIET Communications, 16, 10 (2022)
21067 View0.875Salazar F.; Guamán-Molina J.; Romero-Mediavilla J.; Arias-Espinoza C.; Zurita M.; Jhonny C.; Martinez-García S.; Castro A.Drone Collaboration Using Olsr Protocol In A Fanet Network For Traffic Monitoring In A Smart City EnvironmentLecture Notes in Networks and Systems, 678 LNNS (2023)
35741 View0.867Wei X.; Yang H.; Huang W.Low-Delay Routing Scheme For Uav Communications In Smart CitiesIEEE Internet of Things Journal, 10, 21 (2023)
47088 View0.867Quy V.K.; Nam V.H.; Linh D.M.; Ngoc L.A.Routing Algorithms For Manet-Iot Networks: A Comprehensive SurveyWireless Personal Communications, 125, 4 (2022)
14506 View0.867Sefati S.S.; Halunga S.; Farkhady R.Z.Cluster Selection For Load Balancing In Flying Ad Hoc Networks Using An Optimal Low-Energy Adaptive Clustering Hierarchy Based On Optimization ApproachAircraft Engineering and Aerospace Technology, 94, 8 (2022)
4748 View0.859Hosseinzadeh M.; Ali S.; Rahmani A.M.; Lansky J.; Nulicek V.; Yousefpoor M.S.; Yousefpoor E.; Darwesh A.; Lee S.-W.A Smart Filtering-Based Adaptive Optimized Link State Routing Protocol In Flying Ad Hoc Networks For Traffic MonitoringJournal of King Saud University - Computer and Information Sciences, 36, 4 (2024)
26715 View0.858Radu D.; Cretu A.; Parrein B.; Yi J.; Avram C.; Aştilean A.Flying Ad Hoc Network For Emergency Applications Connected To A Fog SystemLecture Notes on Data Engineering and Communications Technologies, 17 (2018)
8008 View0.857Sadrishojaei M.; Navimipour N.J.; Reshadi M.; Hosseinzadeh M.An Energy-Aware Iot Routing Approach Based On A Swarm Optimization Algorithm And A Clustering TechniqueWireless Personal Communications, 127, 4 (2022)
8370 View0.854Darabkh K.A.; Amareen A.B.; Al-Akhras M.; Kassab W.K.An Innovative Cluster-Based Power-Aware Protocol For Internet Of Things Sensors Utilizing Mobile Sink And Particle Swarm OptimizationNeural Computing and Applications, 35, 26 (2023)