Energy-Efficient Transmission Strategy with Cluster Organization Phase to improve Energy Saving in WSNs

2018 ◽  
Author(s):  
Maha Abderrahim ◽  
Hela Hakim ◽  
Hatem Boujemaa
Keyword(s):  
Energy Saving ◽  
Energy Efficient ◽  
Transmission Strategy ◽  
Cluster Organization ◽  
Efficient Transmission

scholarly journals Energy-Efficient Transmission Strategy by Using Optimal Stopping Approach for Mobile Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Ying Peng ◽  
Gaocai Wang ◽  
Nao Wang
Keyword(s):  
Energy Consumption ◽  
Mobile Networks ◽  
Optimal Stopping ◽  
Energy Efficient ◽  
Transmission Rate ◽  
Optimal Time ◽  
Transmission Strategy ◽  
Channel Quality ◽  
Efficient Transmission ◽  
Rate Threshold

In mobile networks, transmission energy consumption dominates the major part of network energy consumption. To reduce energy consumption for data transmission is an important topic for constructing green mobile networks. According to Shannon formula, when the transmission power is constant, the better the channel quality is, the greater the transmission rate is. Then, more data will be delivered in a given period. And energy consumption per bit data transmitted will be reduced. Because channel quality varies with time randomly, it is a good opportunity for decreasing energy consumption to deliver data in the best channel quality. However, data has delay demand. The sending terminal cannot wait for the best channel quality unlimitedly. Actually, sending terminal has to select an optimal time to deliver data before data exceeds delay. For this, this paper obtains the optimal transmission rate threshold at each detection slot time by using optimal stopping approach. Then, sending terminal determines whether current time is the optimal time through comparing current transmission rate with the corresponding rate threshold, thus realizing energy-efficient transmission strategy, so as to decrease average energy consumption per bit data transmitted.

An energy-efficient transmission strategy for wireless sensor networks

2010 ◽  
Vol 56 (2) ◽  
pp. 597-605 ◽  
Author(s):  
Ca Van Phan ◽  
Yongsuk Park ◽  
Hyo Hyun Choi ◽  
Jinsung Cho ◽  
Jeong Geun Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Transmission Strategy ◽  
Efficient Transmission

Error-aware Design Procedure to Implement Energy-efficient Approximate Squaring Hardware

2020 ◽  
Vol 10 (4) ◽  
pp. 471-477
Author(s):  
Merin Loukrakpam ◽  
Ch. Lison Singh ◽  
Madhuchhanda Choudhury
Keyword(s):  
Energy Saving ◽  
Relative Error ◽  
Energy Efficient ◽  
Piecewise Linear ◽  
Arithmetic Operation ◽  
Design Procedure ◽  
Digital Signal ◽  
Maximum Relative Error ◽  
Square Function ◽  
Efficient Design

Background:: In recent years, there has been a high demand for executing digital signal processing and machine learning applications on energy-constrained devices. Squaring is a vital arithmetic operation used in such applications. Hence, improving the energy efficiency of squaring is crucial. Objective:: In this paper, a novel approximation method based on piecewise linear segmentation of the square function is proposed. Methods: Two-segment, four-segment and eight-segment accurate and energy-efficient 32-bit approximate designs for squaring were implemented using this method. The proposed 2-segment approximate squaring hardware showed 12.5% maximum relative error and delivered up to 55.6% energy saving when compared with state-of-the-art approximate multipliers used for squaring. Results: The proposed 4-segment hardware achieved a maximum relative error of 3.13% with up to 46.5% energy saving. Conclusion:: The proposed 8-segment design emerged as the most accurate squaring hardware with a maximum relative error of 0.78%. The comparison also revealed that the 8-segment design is the most efficient design in terms of error-area-delay-power product.

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