This paper proposes an energy-efficient path selection algorithm which aims at balancing the contrasting objectives of maximizing network lifetime and ...

Abstract—This paper proposes an energy–efficient path se- lection algorithm which aims at balancing the contrasting ob- jectives of maximizing network ...

PDF | This paper proposes an energy-efficient path selection algorithm which aims at balancing the contrasting objectives of maximizing network lifetime.

Wibhada Naruephiphat, Wipawee Usaha: Balancing Tradeoffs for Energy-Efficient Routing in MANETs Based on Reinforcement Learning. VTC Spring 2008: 2361-2365.

Simulation results show that variants of the proposed method can outperform existing schemes and be the best minimum combined- cost routing algorithm in ...

This paper proposes an energy-efficient path selection algorithm which aims at balancing the contrasting objectives of maximizing network lifetime and ...

The method is based on a reinforcement learning technique called the on-policy Monte Carlo (ONMC) method. Simulation results under high mobility environments ...

Oct 13, 2023 · In this paper, we present an intelligent, energy-efficient multi-objective routing protocol based on the Reinforcement Learning (RL) algorithm with Dynamic ...

Our focus, in this paper, is on the application of Reinforcement Learning (RL) technique to achieve adaptive routing in MANETs. Particularly, we try to ...

In this paper, a path discovery scheme which supports QoS routing in mobile ad hoc networks (MANETs) in the presence of imprecise information is investigated.