An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime

2016 ◽  
Author(s):  
Jinseok Yang ◽  
Sameer Tilak ◽  
Tajana S. Rosing
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Network Lifetime ◽  
Management Technique ◽  
Context Aware

scholarly journals Transient Analysis of Power Management in Wireless Sensor Network With Start-Up Times and Threshold Policy

2021 ◽  
Author(s):  
Sushesh Ramupillai ◽  
Mohammed shapique
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Management ◽  
Communication Systems ◽  
System Size ◽  
Wireless Sensor ◽  
Management Technique ◽  
Mean Power ◽  
Threshold Policy ◽  
Start Up

Abstract Queueing models play a significant role in analysing the performance of power management systems in various electronic devices and communication systems. This paper adopts a multiple vacation queueing model with a threshold policy to analyse the power-saving mechanisms of the wireless sensor network(WSN) using the Dynamic Power Management technique. The proposed system consists of a busy state(transmit state), wake-up state, shutdown state and inactive state. In this model, the server switches to a shutdown state for a random duration of time after serving all the events(data packets) in the busy state. Events that arrive during the shutdown period cannot be served until the system size reaches the predetermined threshold value of k and further it requires start-up time and a change of state to resume service. At the end of the shutdown period, if the system size is less than k, then the server begins the inactive period; otherwise, the server switches to the wake-up state. For this system, an explicit expression for the transient and steady-state solution is computed in a closed-form. Furthermore, performance indices such as mean, variance, probability that the server is in various stages of power management modes and mean power consumption are computed. Finally, graphical illustrations are made to understand the effect of the parameters on the performance of the system.

Energy-Efficient Context Aware Power Management with Asynchronous Protocol for Body Sensor Network

2016 ◽  
Vol 22 (5) ◽  
pp. 814-824 ◽  
Author(s):  
Michele Magno ◽  
Tommaso Polonelli ◽  
Filippo Casamassima ◽  
Andres Gomez ◽  
Elisabetta Farella ◽  
...  
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Energy Efficient ◽  
Context Aware ◽  
Body Sensor Network

A low-power management technique for high-performance domino circuits

2011 ◽  
Author(s):  
Yu-Tzu Tsai ◽  
Cheng-Chih Tsai ◽  
Cheng-An Chien ◽  
Ching-Hwa Cheng ◽  
Jiun-In Guo
Keyword(s):  
Low Power ◽  
Power Management ◽  
High Performance ◽  
Management Technique ◽  
Domino Circuits

An Energy Efficient Estimation Algorithm for Wireless Sensor Network

2011 ◽  
Vol 216 ◽  
pp. 176-180
Author(s):  
Yong Ding ◽  
Yue Mei Su
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Estimation Algorithm ◽  
Efficient Estimation ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Current Energy

Wireless Sensor Networks functionality is closely related to network lifetime which depends on the energy consumption, so require energy- efficient protocols to improve the network lifetime. According to the analysis and summary of the current energy efficient estimation algorithms in wireless sensor network An energy-efficient algorithm is proposed,. Then this optimization algorithm proposed in the paper is adopted to improve the traditional diffusion routing protocol. Simulation results show that this algorithm is to effectively balance the network energy consumption, improve the network life-cycle and ensure the communication quality.

A memetic algorithm for extending wireless sensor network lifetime

2010 ◽  
Vol 180 (24) ◽  
pp. 4818-4833 ◽  
Author(s):  
Chuan-Kang Ting ◽  
Chien-Chih Liao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Memetic Algorithm ◽  
Wireless Sensor

Visual sensor network lifetime maximization by prioritized scheduling of nodes

2013 ◽  
Vol 36 (1) ◽  
pp. 409-419 ◽  
Author(s):  
M. Hooshmand ◽  
S.M.R. Soroushmehr ◽  
P. Khadivi ◽  
S. Samavi ◽  
S. Shirani
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Visual Sensor ◽  
Lifetime Maximization ◽  
Visual Sensor Network
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