Optimal Deployment Strategy for Relay Based UAV Assisted Cooperative Communication for Emergency Applications

2021 ◽  
Author(s):  
Nelapati Lava Prasad ◽  
Chanakya Ajit Ekbote ◽  
Barathram Ramkumar
Keyword(s):  
Cooperative Communication ◽  
Deployment Strategy ◽  
Optimal Deployment

scholarly journals Strategies for Optimal Deployment of Related Clones into Seed Orchards

2008 ◽  
Vol 57 (1-6) ◽  
pp. 119-127 ◽  
Author(s):  
D. Danusevičius ◽  
D. Lindgren
Keyword(s):  
Gene Diversity ◽  
Seed Orchard ◽  
Breeding Values ◽  
Truncation Selection ◽  
Deployment Strategy ◽  
Ranking Criteria ◽  
The Status ◽  
Sib Families ◽  
Optimal Deployment ◽  
Status Number

Abstract This study deals with how the deployed proportion of each candidate clone can be decided at the establishment of a seed orchard when the breeding values are available for each candidate in a population of unrelated half-sib families. The following deployment strategies were compared: (a) truncation selection by selecting the clones with the breeding values exceeding certain threshold and deploying equal number of ramets (Truncation strategy); (b) truncation selection by selecting only one best individual within each family (Truncation unrelated); (c) maximizing gain at a given effective clone number (Linear deployment); (d) linear deployment by selecting one best individual within each family (Linear deployment unrelated) and (e) maximizing net gain at a given gene diversity (Optimal proportions). The study focused on the latest alternative and described its superiority and characteristics for a number of possible typical cases. The genetic gain adjusted for predicted inbreeding depression (Net gain), gene diversity and effective clone number were considered as the main ranking criteria. The strategies optimizing the number of related individuals and the linear deployment strategy with restriction on relatedness returned the highest Net gain. If there is a large diversity to select from (the status number of the candidates is more than 8 times greater than the status number desired in the seed orchard), a relatively simple advice is to select the best individual within the best families and deploy the clones linearly according to their breeding values (the number of families selected depends on the desired status number). If the diversity available to select from is small, it seems recommendable to allow half-sibs among the selections and use the Optimal proportions deployment strategy. As the breeding cycles proceed, the status number of the candidate population will decrease and the Optimal proportions strategy is likely to become more favorable.

Nonuniform Deployment of Autonomous Agents in Harbor-Like Environments

2014 ◽  
Vol 02 (04) ◽  
pp. 377-389 ◽  
Author(s):  
Suruz Miah ◽  
Bao Nguyen ◽  
François-Alex Bourque ◽  
Davide Spinello
Keyword(s):  
Autonomous Agents ◽  
Optimal Trajectories ◽  
Risk Map ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Deployment Strategy ◽  
Area Of Interest ◽  
Multi Agent ◽  
Optimal Deployment ◽  
Theoretical Results

We propose a nonuniform deployment strategy of a group of homogeneous autonomous agents in harbor-like environments. High value units berthed in the area need to be secured against external attacks. Defenders deployed in the area are expected to monitor, intercept, engage, and neutralize threats. In the framework of decentralized coordinated multi-agent systems, we model and simulate the optimal deployment of a group of mobile autonomous agents that accounts for a risk map of the area and the optimal trajectories that minimize the energy consumed to intercept a threat in a given area of interest. Theoretical results are numerically illustrated through simulations in a realistic harbor protection scenario.

scholarly journals Optimal Deployment of Camera Mounted UAVs Performing Search

2018 ◽  
Vol 7 (2.21) ◽  
pp. 161
Author(s):  
Jeane Marina D’Souza ◽  
Siddhartha Suresh Rao ◽  
K R. Guruprasad
Keyword(s):  
Density Distribution ◽  
Voronoi Cell ◽  
Uncertainty Reduction ◽  
Deployment Strategy ◽  
Search Area ◽  
Multiple Uavs ◽  
Lack Of Information ◽  
Optimal Deployment ◽  
Simulation Results ◽  
Multi Robot

In this paper we address a problem of optimal deployment of camera mounted UAVs for a multi-robot search application. Here   multiple UAVs carrying downward facing cameras are required to look for targets of interest in a search area. The lack of information about the presence or absence of targets is modeled as an uncertainty density distribution over the search area and this uncertainty is reduced as the information is gathered using the onboard cameras. The UAVs are required to get deployed so as to maximize the uncertainty reduction. We provide a model for search effectiveness of the camera and use it to formulate a strategy for optimal deployment of UAVs. It is shown that a centroidal Voronoi configuration, where each UAV (camera) is located at the centroid of the corresponding Voronoi cell is an optimal deployment. We provide simulation results to demonstrate that the proposed optimal deployment strategy successfully      deploys the UAVs into centroidal Voronoi configuration, which maximizes the uncertainty reduction using cameras as search sensors.  

scholarly journals Strip-based deployment with cooperative communication to achieve connectivity and information coverage in wireless sensor networks

2019 ◽  
Vol 15 (10) ◽  
pp. 155014771988488
Author(s):  
Wei Cheng ◽  
Xiaolin Lu ◽  
Yong Li ◽  
Hui Wang ◽  
Lei Zhong
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cooperative Communication ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
New Strategy ◽  
Optimal Deployment ◽  
Coverage And Connectivity ◽  
The Relationship ◽  
Information Coverage

Coverage and connectivity in wireless sensor network have been studied extensively in existing research works with physical and information coverage. The optimal deployment to achieve both information coverage and connectivity, on arbitrary values of the ratio of rc and rs, has been studied in previous work; meanwhile, the extended strip-based deployment based on information coverage is also studied. Either information coverage or cooperative communication could exploit collaboration of sensor nodes to improve the efficiency of deployment, while how good is strip-based deployment with both information coverage and cooperative communication is worth to be measured when the value of rc/ rs is varied. In this article, the relationship between the density of sensors needed to achieve physical or information coverage and connectivity and the variety of rc/ rs is derived in closed form for strip-based deployment of wireless sensor networks with cooperative communication. Then, a summary of different combinations of coverage and connectivity is provided, that physical or information coverage with or without cooperative communication could be employed to achieve full coverage and connectivity for strip-based deployment. Finally, some new strategy could be proposed based on the fusion of physical and information coverage to improve strip-based deployment. Some numerical results are provided to show the efficiency of all schemes to help researchers design more effective deployment schemes.

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