Energy-efficient Delivery by Heterogeneous Mobile Agents
October 07, 2016 Β· Declared Dead Β· π Symposium on Theoretical Aspects of Computer Science
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Authors
Andreas BΓ€rtschi, JΓ©rΓ©mie Chalopin, Shantanu Das, Yann Disser, Daniel Graf, Jan Hackfeld, Paolo Penna
arXiv ID
1610.02361
Category
cs.DS: Data Structures & Algorithms
Citations
21
Venue
Symposium on Theoretical Aspects of Computer Science
Last Checked
3 months ago
Abstract
We consider the problem of delivering $m$ messages between specified source-target pairs in a weighted undirected graph, by $k$ mobile agents initially located at distinct nodes of the graph. Each agent consumes energy proportional to the distance it travels in the graph and we are interested in optimizing the total energy consumption for the team of agents. Unlike previous related work, we consider heterogeneous agents with different rates of energy consumption (weights~$w_i$). To solve the delivery problem, agents face three major challenges: \emph{Collaboration} (how to work together on each message), \emph{Planning} (which route to take) and \emph{Coordination} (how to assign agents to messages). We first show that the delivery problem can be 2-approximated \emph{without} collaborating and that this is best possible, i.e., we show that the \emph{benefit of collaboration} is 2 in general. We also show that the benefit of collaboration for a single message is~$1/\ln 2 \approx 1.44$. Planning turns out to be \NP-hard to approximate even for a single agent, but can be 2-approximated in polynomial time if agents have unit capacities and do not collaborate. We further show that coordination is \NP-hard even for agents with unit capacity, but can be efficiently solved exactly if they have uniform weights. Finally, we give a polynomial-time $(4\max\tfrac{w_i}{w_j})$-approximation for message delivery with unit capacities.
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