Rendezvous on the Fly: Efficient Neighbor Discovery for Autonomous UAVs

Yang, Bo; Liu, Min; Li, Zhongcheng

doi:10.1109/jsac.2018.2864422

Cited by 19 publications

(10 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The network life duration will be extended if the chosen CH is a sensor node with the highest energy leftover among all the cluster members. LEACH-B (LEACH-Balanced) [6,7] is proposed as an improved variant of LEACH, which keeps the number of CHs practically optimal [8]. LEACH-B is a decentralization technique for the development of clusters that improves the choice of the CHs process, based on the residual energy of the nodes.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol

et al. 2021

View full text Add to dashboard Cite

A Flying Ad-hoc network constitutes many sensor nodes with limited processing speed and storage capacity as they institute a minor battery-driven device with a limited quantity of energy. One of the primary roles of the sensor node is to store and transmit the collected information to the base station (BS). Thus, the life span of the network is the main criterion for the efficient design of the FANETS Network, as sensor nodes always have limited resources. In this paper, we present a methodology of an energy-efficient clustering algorithm for collecting and transmitting data based on the Optimized Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol. The selection of CH is grounded on the new optimized threshold function. In contrast, LEACH is a hierarchical routing protocol that randomly selects cluster head nodes in a loop and results in an increased cluster headcount, but also causes more rapid power consumption. Thus, we have to circumvent these limitations by improving the LEACH Protocol. Our proposed algorithm diminishes the energy usage for data transmission in the routing protocol, and the network’s lifetime is enhanced as it also maximizes the residual energy of nodes. The experimental results performed on MATLAB yield better performance than the existing LEACH and Centralized Low-Energy Adaptive Clustering Hierarchy Protocol in terms of energy efficiency per unit node and the packet delivery ratio with less energy utilization. In addition, the First Node Death (FND) is also meliorated when compared to the LEACH and LEACH-C protocols.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol

et al. 2021

View full text Add to dashboard Cite

show abstract

“…As a result of the movement, these routes are usually re-arranged so that the interconnection between the UAVs can be continued. For this reason, the routing must be carried out dynamically by increasing the autonomy of the UAVs and reducing the delay in data delivery between a source node and a destination node [15].…”

Section: A Problem Statement and Major Contributionsmentioning

confidence: 99%

QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems

Souza

Jailton

Carvalho

et al. 2020

J. Microw. Optoelectron. Electromagn. Appl.

View full text Add to dashboard Cite

“…As a result of the movement, these routes are usually rearranged so that the interconnection between the UAVs can be continued. For this reason, the routing must be carried out dynamically by increasing the autonomy of the UAVs and reducing the delay in data delivery between a source node and a destination node [17].…”

Section: Problem Statement and Major Contributionsmentioning

confidence: 99%

A Proposal for Routing Protocol for FANET: A Fuzzy System Approach with QoE/QoS Guarantee

Souza

Jailton

Carvalho

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The flying ad hoc network (FANET) has emerged as an alternative access technology for regions that have no fixed infrastructure or are hard to reach. This new type of network is composed of devices called unmanned aerial vehicles (UAVs) that communicate with each other, but there is no specific routing protocol to FANET applications that allows efficient communication between these devices. This paper proposes a FANET adaptive routing protocol based on the fuzzy system. The validation of the FANET adaptive protocol was performed through simulation using Network Simulator version 2 (NS-2) and, it was assessed by quality of service (QoS) and quality of experience (QoE) metrics.

show abstract

Rendezvous on the Fly: Efficient Neighbor Discovery for Autonomous UAVs

Cited by 19 publications

References 29 publications

Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol

Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol

QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems

A Proposal for Routing Protocol for FANET: A Fuzzy System Approach with QoE/QoS Guarantee

Contact Info

Product

Resources

About