Efficient cooperative relaying in flying ad hoc networks using fuzzy-bee colony optimization

Sharma, Vishal; Srinivasan, Kathiravan; Kumar, Rajesh; Chao, Han‐Chieh; Hua, Kai-Lung

doi:10.1007/s11227-017-2015-9

Cited by 17 publications

(16 citation statements)

References 28 publications

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“…Serving as flying base stations, several loitering drones may form a multihop communication network, in which a mobile device connected with one drone may transmit data to a mobile device connected to some other drone in the network . Some articles also optimize allocation of limited transmission power between the source node and drones (as relay nodes) to improve communication quality .…”

Section: Planning Drone Operationsmentioning

confidence: 99%

“…Third, users can reduce the payload of some drones and economize on cost by equipping only select drones with the hardware enabling direct long‐distance communication with the base station or satellites . Fourth, because of the limited communication range, several drones may be required to provide connectivity to mobile devices . Literature surveys on communication protocols in FANETs can be found in Bekmezci et al and Sahingoz .…”

Section: Planning Drone Operationsmentioning

confidence: 99%

“…Drones may also provide communication to ground vehicles. For instance, as communication relays, they may connect vehicles, for example, rescue vehicles, to the ground control station and with each other .…”

Section: Planning Combined Operations Of Drones With Other Vehiclesmentioning

confidence: 99%

See 2 more Smart Citations

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Planning Drone Operationsmentioning

confidence: 99%

Section: Planning Drone Operationsmentioning

confidence: 99%

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Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…IoRT Sharma et al [61,35,40] Narasimhan et al [56] Salamat et al [70] Yu et al [58] Li et al [27] Guzey et al [24] Hauert et al [73] Min et al [75] Akat et al [76] Razafimandimby et al [66] Vermesan et al [82] Gerla et al [84] Al-Sakran et al [85] Aerospace Robotic Ground…”

Section: Doriya Et Al [74]mentioning

confidence: 99%

Survey on artificial intelligence based techniques for emerging robotic communication

Alsamhi

Ansari

2019

Telecommun Syst

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This paper reviews the current development of artificial intelligence (AI) techniques for the application area of robot communication. The study of the control and operation of multiple robots collaboratively toward a common goal is fast growing. Communication among members of a robot team and even including humans is becoming essential in many real-world applications. The survey focuses on the AI techniques for robot communication to enhance the communication capability of the multi-robot team, making more complex activities, taking an appreciated decision, taking coordinated action, and performing their tasks efficiently.

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“…At present the works related to the dynamic adjustment of parameters in BCO are: in [35], a Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot is shown; in [36], an improved artificial bee colony algorithm for solving constrained optimization problems is presented; in [37], a survey of swarm intelligence for dynamic optimization: algorithms and applications is shown; and, in [21], an Efficient cooperative relaying in flying ad hoc networks using fuzzy-bee colony optimization is presented, among others.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Type-2 Fuzzy Particle Swarm, Bee Colony and Bat Algorithms in Optimization of Fuzzy Controllers

et al. 2017

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Abstract:In this paper, a comparison among Particle swarm optimization (PSO), Bee Colony Optimization (BCO) and the Bat Algorithm (BA) is presented. In addition, a modification to the main parameters of each algorithm through an interval type-2 fuzzy logic system is presented. The main aim of using interval type-2 fuzzy systems is providing dynamic parameter adaptation to the algorithms. These algorithms (original and modified versions) are compared with the design of fuzzy systems used for controlling the trajectory of an autonomous mobile robot. Simulation results reveal that PSO algorithm outperforms the results of the BCO and BA algorithms.

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Efficient cooperative relaying in flying ad hoc networks using fuzzy-bee colony optimization

Cited by 17 publications

References 28 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Survey on artificial intelligence based techniques for emerging robotic communication

Comparative Study of Type-2 Fuzzy Particle Swarm, Bee Colony and Bat Algorithms in Optimization of Fuzzy Controllers

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