Unmanned Aerial Vehicle Swarms

2013 ◽  
Vol 5 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Alexander G. Madey
Keyword(s):  
Performance Metrics ◽  
Agent Based Modeling ◽  
Contaminant Plume ◽  
Agent Based ◽  
Vessel Tracking ◽  
Cohesive Group ◽  
Aerial Vehicle ◽  
Swarming Behavior ◽  
Modeling Toolkit ◽  
And Control

Unmanned aerial vehicles (UAVs) are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or “swarm”. Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and reduced long-range bandwidth requirements. Engineering a swarm requires designing the swarming behavior and finding effective ways to control the behavior so that the swarm can be directed to complete its mission. This paper presents an approach to developing UAV swarming behaviors and command and control (C2) strategies to govern them. The agent-based modeling toolkit NetLogo is used to create two mission types: contaminant plume mapping and vessel tracking. Performance metrics are used to evaluate success as parameters are changed. This research demonstrates the potential usefulness of agent-based modeling in the engineering of UAV swarms.

scholarly journals Investigations of DDDAS for command and control of UAV swarms with agent-based modeling

2013 ◽  
Author(s):  
Ryan McCune ◽  
Rachael Purta ◽  
Mikolaj Dobski ◽  
Artur Jaworski ◽  
Greg Madey ◽  
...  
Keyword(s):  
Command And Control ◽  
Agent Based Modeling ◽  
Agent Based ◽  
And Control

Cognitive Agent Based Data Synchronization in Ubiquitous Networks

2018 ◽  
Vol 10 (2) ◽  
pp. 1-17
Author(s):  
Lokesh B. Bhajantri ◽  
Vasudha V. Ayyannavar
Keyword(s):  
Network Performance ◽  
Performance Metrics ◽  
Fault Tolerant ◽  
Data Consistency ◽  
Data Synchronization ◽  
Cognitive Agent ◽  
Cognitive Agents ◽  
Agent Based ◽  
Ubiquitous Networks ◽  
And Control

In the recent past, some research works are focused on the design and management of ubiquitous networks (UNs) in terms of performance metrics like routing, computation overhead, latency, and security. Nowadays, data synchronization is one of the most challenging tasks in UNs to ensure the data consistency between the nodes or devices and servers. In this work, the authors present an overview of the UNs, including issues and challenges, cognitive agents, synchronization algorithms, and proposed data synchronization model using cognitive agents. This review article classifies some of the data synchronization algorithms into four categories named: synchronization based on the message digest; timestamp based synchronization; synchronization based on scalability performance; and delta synchronization with their relative performance. This article also compares synchronization algorithms against data synchronization in terms of accuracy, efficiency, scalability, consistency, and control overheads. The authors provide the model of cognitive agent-based data synchronization in UNs, which ensures the network performance in terms of reliability, energy efficient, accuracy, scalable, fault tolerant, and QoS based data synchronization algorithms using cognitive agents.

scholarly journals Conceptualization of Vehicle-to-Grid Contract Types and Their Formalization in Agent-Based Models

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Esther H. Park Lee ◽  
Zofia Lukszo ◽  
Paulien Herder
Keyword(s):  
Electricity Market ◽  
Power Plants ◽  
Supply And Demand ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Vehicle To Grid ◽  
Fuel Cell Electric Vehicles ◽  
Different Types ◽  
Wholesale Electricity Market ◽  
And Control

Fuel cell electric vehicles (FCEVs) have the potential to be used as flexible power plants in future energy systems. To integrate FCEVs through vehicle-to-grid (V2G), agreements are needed between the FCEV owners and the actor that coordinates V2G on behalf of them, usually considered the aggregator. In this paper, we argue that, depending on the purpose of providing V2G and the goal of the system or the aggregator, different types of contracts are needed, not currently considered in the literature. We propose price-based, volume-based, and control-based contracts. Using agent-based modeling and simulation we show how price-based contracts can be applied for selling V2G in the wholesale electricity market and how volume-based contracts can be used for balancing the local energy supply and demand in a microgrid. The models can provide a base to explore strategies in the market and to improve performance in a system highly dependent on V2G.

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