Energy-efficient SSD-LMS algorithm for state-space estimation in distributed networks

2021 ◽  
pp. 103362
Author(s):  
Muhammad Arif ◽  
Imran Naseem ◽  
Muhammad Moinuddin ◽  
Abdulrahman U. Alsaggaf ◽  
Ubaid M. Al-Saggaf
Keyword(s):  
State Space ◽  
Energy Efficient ◽  
Distributed Networks ◽  
Lms Algorithm

scholarly journals Towards Energy Efficient Follow Behaviors for Unmanned Ground Vehicles Over Rugged Terrains

2012 ◽  
Author(s):  
Madan M. Dabbeeru ◽  
Joshua D. Langsfeld ◽  
Petr Svec ◽  
Satyandra K. Gupta
Keyword(s):  
State Space ◽  
Energy Efficient ◽  
The State ◽  
Unmanned Ground Vehicles ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicles ◽  
Ground Vehicle ◽  
Rugged Terrain ◽  
Simulation Results ◽  
The Relationship

This paper focuses on the development of a follow behavior for an unmanned ground vehicle (UGV) in collaborative scenarios. The scenario being studied involves a human traveling over a rugged terrain on foot. The UGV follows the human. We present an approach for automatically generating a reactive energy-efficient follow behavior that maps the vehicle’s states into motion goals. We start by partitioning the state space that encodes the relationship between the state of the vehicle and the human’s state, and the environment. For each cell in the partitioned state space, we either directly generate the motion goal for the vehicle to execute or a function that produces the motion goal. The motion goal defines not only the location towards which the vehicle should move but also specifies a zero activity zone around the human within which the vehicle is supposed to slow down and remain stationary to save its energy until it gets outside the margin caused by the movement of the human. Our approach utilizes off-line simulations to assess the performance of the generated behavior. Our simulation results show that the automatically generated follow behavior significantly outperforms a simple conservative tracking rule in terms of distance traveled and violation of proximity constraints. We anticipate that the approach presented in this paper will ultimately enable us to implement energy efficient follow behaviors on physical UGVs.

scholarly journals Energy-Efficient Probabilistic Routing Algorithm for Internet of Things

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Sang-Hyun Park ◽  
Seungryong Cho ◽  
Jung-Ryun Lee
Keyword(s):  
Internet Of Things ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Network Performance ◽  
Routing Algorithm ◽  
Distributed Networks ◽  
Residual Energy ◽  
Aodv Protocol ◽  
Probabilistic Routing ◽  
Key Factor

In the future network with Internet of Things (IoT), each of the things communicates with the others and acquires information by itself. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose energy-efficient probabilistic routing (EEPR) algorithm, which controls the transmission of the routing request packets stochastically in order to increase the network lifetime and decrease the packet loss under the flooding algorithm. The proposed EEPR algorithm adopts energy-efficient probabilistic control by simultaneously using the residual energy of each node and ETX metric in the context of the typical AODV protocol. In the simulations, we verify that the proposed algorithm has longer network lifetime and consumes the residual energy of each node more evenly when compared with the typical AODV protocol.

scholarly journals Energy Efficient Control of the Dehumidification Process in Heat Exchangers with Air Bypass

2019 ◽  
Vol 111 ◽  
pp. 04035 ◽  
Author(s):  
Stephan Kusche ◽  
André Badura
Keyword(s):  
Heat Exchanger ◽  
State Space ◽  
Heat Exchangers ◽  
Basic Concept ◽  
Energy Efficient ◽  
Reduction Method ◽  
Krylov Space ◽  
Air Stream ◽  
Efficient Control ◽  
Energy Consuming

This paper deals with an energy efficient approach for the dehumidification process of supply air. The basic concept consists of an air bypass, which separates the airstream. Later the unprocessed air is mixed with the conditioned air. This mixing allows one to avoid the energy consuming reheating of the air stream. Application of this concept demands for a sophisticated controller. In this case a state space controller is designed. Therefore, the underlying model for the heat exchanger is derived and a Krylov Space based reduction method is applied. This model is broadened for the bypass. The overall linear model is derived via numerical linearization.

scholarly journals Diffusion Robust Variable Step-Size LMS Algorithm Over Distributed Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 47511-47520 ◽  
Author(s):  
Wei Huang ◽  
Lindong Li ◽  
Qiang Li ◽  
Xinwei Yao
Keyword(s):  
Distributed Networks ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step

scholarly journals Design of FIR Filter Using Adaptive LMS Algorithm for Energy Efficient Application

2021 ◽  
Vol 1916 (1) ◽  
pp. 012067
Author(s):  
Yamini Shanmugam ◽  
A Subbiya ◽  
M Sudhakar ◽  
D Harsha Visali
Keyword(s):  
Energy Efficient ◽  
Fir Filter ◽  
Lms Algorithm ◽  
Adaptive Lms
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