Competitive Perimeter Defense of Conical Environments

10/10/2021
by   Shivam Bajaj, et al.
0

We consider a perimeter defense problem in a planar conical environment in which a single vehicle, having a finite capture radius, aims to defend a concentric perimeter from mobile intruders. The intruders are arbitrarily released at the circumference of the environment and move radially toward the perimeter with fixed speed. We present a competitive analysis approach to this problem by measuring the performance of multiple online algorithms for the vehicle against arbitrary inputs, relative to an optimal offline algorithm that has access to all future inputs. In particular, we first establish a necessary condition on the parameter space to guarantee finite competitiveness of any algorithm, and then characterize a parameter regime in which the competitive ratio is guaranteed to be at least 2 for any algorithm. We then design and analyze three online algorithms and characterize parameter regimes for which they have finite competitive ratios. Specifically, our first two algorithms are provably 1, and 2-competitive, respectively, whereas our third algorithm exhibits a finite competitive ratio that depends on the problem parameters. Finally, we provide numerous parameter space plots providing insights into the relative performance of our algorithms.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/25/2022

An Improved Algorithm for Open Online Dial-a-Ride

We consider the open online dial-a-ride problem, where transportation re...
research
09/03/2020

New Results and Bounds on Online Facility Assignment Problem

Consider an online facility assignment problem where a set of facilities...
research
06/23/2023

Improved Competitive Ratios for Online Bipartite Matching on Degree Bounded Graphs

We consider the online bipartite matching problem on (k,d)-bounded graph...
research
10/26/2020

Competitive Analysis of Move-to-Front-or-Middle (MFM) Online List Update Algorithm

The design and analysis of efficient algorithms with the knowledge of cu...
research
12/21/2020

Change-in-Slope Optimal Partitioning Algorithm in a Finite-Size Parameter Space

We consider the problem of detecting change-points in univariate time se...
research
10/01/2020

Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging

We introduce and study a general version of the fractional online knapsa...
research
05/26/2019

Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees

Algorithms typically come with tunable parameters that have a considerab...

Please sign up or login with your details

Forgot password? Click here to reset