Cutting Down Idle Listening Time: A NDN-Enabled Power Saving Mode Design for WLAN

2019 ◽  
Author(s):  
Fan Wu ◽  
Wang Yang ◽  
Ju Ren ◽  
Feng Lyu ◽  
Peng Yang ◽  
...  
Keyword(s):  
Power Saving ◽  
Mode Design ◽  
Power Saving Mode ◽  
Idle Listening ◽  
Saving Mode

Named Data Networking Enabled Power Saving Mode Design for WLAN

2020 ◽  
Vol 69 (1) ◽  
pp. 901-913 ◽  
Author(s):  
Fan Wu ◽  
Wang Yang ◽  
Ju Ren ◽  
Feng Lyu ◽  
Peng Yang ◽  
...  
Keyword(s):  
Power Saving ◽  
Named Data Networking ◽  
Mode Design ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Data Networking

Investigating the Analysis of Power Saving Mode in IEEE 802.11 for Wi-Fi Communication

2018 ◽  
Vol 6 (3) ◽  
pp. 13-19
Author(s):  
Isam Aameer Ibrahim ◽  
Haider TH Salim ◽  
Hasan F. Khazaal
Keyword(s):  
Ieee 802.11 ◽  
Network Performance ◽  
Power Saving ◽  
Packet Delay ◽  
Access Point ◽  
Battery Life ◽  
Global Issues ◽  
Time Ratio ◽  
Power Saving Mode ◽  
Saving Mode

One of the major global issues today is energy consumption. Consequently, power management was introduced in various communication technologies. For IEEE 802.11wireless communication, there is a Power Saving Mode scheme (PSM) for increase the battery life of cell phone. In this PSM, there are two key parameters: beacon period interval (BI) and listen interval(LI). In most work these values are chosen arbitrary. Here, a scheme to determine the optimal BI and LI for accomplishing the most astounding conceivable vitality proficiency is introduced. This is implemented with the application of a numerical sample to the standard IEEE 802.11 PSM and Access Point-PSM (AP-PSM) schemes. To ensure the quality of network performance analysis on the normal and change of parcel delays is doing. The well-known queuing (M/G/I) model with bulk services are utilized. After the implementation of the proposed analysis, “maximum rest plan time ratio optimal Sleep Scheme (OSS)” which is when participate stations stay in the doze mode it can be determined. In this research shows that the optimal BI and LI produce optimal OSS time ratio scheme also achieved optimal average and variance of packet delay.

scholarly journals An Adaptive Energy Saving Algorithm for an RSSI-Based Localization System in Mobile Radio Sensors

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3987
Author(s):  
Adam Olesiński ◽  
Zbigniew Piotrowski
Keyword(s):  
Radio Signal ◽  
Operating Time ◽  
Power Saving ◽  
Signal Propagation ◽  
Localization System ◽  
Received Power ◽  
Power Saving Mode ◽  
Power Control Algorithm ◽  
Adaptive Power ◽  
Saving Mode

In localization systems based on the emission of reference radio signals, an important issue related to the reliability of sensor operation is the problem of operating time and power of the emitted reference radio signal. There are many localization methods that have proven useful in practice and that use a reference radio signal for this purpose. In the issue of determining the location of radio emitters, various radio signal propagation models are used to determine the effective range and distance of the sensor-receiver from the radio emitter. This paper presents an adaptive power control algorithm for a transmitter, as a reference emitter, operating in power-saving mode. An important advantage of the presented solution is the adjustment of the localization system accuracy at the assumed level of energy radiated by radio emitters based on the RSSI signal received power estimation.

scholarly journals Energy Efficient Constellation for Wireless Connectivity of IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3991
Author(s):  
Lorenzo Mucchi ◽  
Luca Simone Ronga ◽  
Sara Jayousi
Keyword(s):  
Information Source ◽  
A Priori ◽  
Power Saving ◽  
Posteriori Probability ◽  
Probability Of Error ◽  
A Posteriori Probability ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Iot Devices ◽  
Save Energy

Reducing energy consumption is one of the most important task of the approaching Internet of Things (IoT) paradigm. Existing communication standards, such as 3G/4G, use complex protocols (active mode, sleep modes) in order to address the waste of energy. These protocols are forced to transmit when one frame is only partially filled with information symbols. The hard task to adapt the power-saving mode with low latency to the discontinuity of the source is mainly due to the fact that the receiver cannot know a priori when the source has something to transmit. In this paper, we propose a modified signalling/constellation which can save energy by mapping a zero-energy symbol in the information source. This paper addresses the fundamentals of this new technique: the maximum a posteriori probability (MAP) criterion, the probability of error, the (energy) entropy, the (energy) capacity as well as the energy cost of the proposed technique are derived for the binary signalling case.

Liquid Crystals for Superior Electro-Optic Performance Display Device with Power-Saving Mode

2018 ◽  
Vol 6 (11) ◽  
pp. 1800022 ◽  
Author(s):  
MinSu Kim ◽  
Heui Seok Jin ◽  
Seung Jae Lee ◽  
Yun-Ho Shin ◽  
Hyeong Gyun Ham ◽  
...  
Keyword(s):  
Liquid Crystals ◽  
Power Saving ◽  
Display Device ◽  
Electro Optic ◽  
Power Saving Mode ◽  
Saving Mode

Soaring bills send trusts into power-saving mode

2006 ◽  
Vol 20 (50) ◽  
pp. 11-11
Author(s):  
Christian Duffin
Keyword(s):  
Power Saving ◽  
Power Saving Mode ◽  
Saving Mode

scholarly journals Application of Bat Algorithm for The Detection of Hidden Nodes in IEEE802.11ah Networks

2019 ◽  
Vol 18 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Kofoworola Fapohunda ◽  
Eberechukwu Numan Paulson ◽  
Zubair Suleiman ◽  
Oladimeji Saliu ◽  
David Michael ◽  
...  
Keyword(s):  
Ieee 802.11 ◽  
Power Saving ◽  
Bat Algorithm ◽  
Ieee 802.11A ◽  
Hidden Node ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Node Problem ◽  
Mode A ◽  
Hidden Nodes

Hidden node problem sometimes referred to as frequent packets collision that mostly leads to loss of packets is no longer new in wireless networks because it affects the previous IEEE802.11 standards. The new IEEE802.11ah standard which is also a sub-standard of IEEE 802.11 is no exemption. As a matter of fact, IEEE802.11ah suffers from a hidden node problem more than networks (IEEE 802.11a/b/n/ac) due to their wider coverage which is up to 1km, high number of devices they can support (over 8000 nodes to one AP) and frequent simultaneous sleeping and sending of the nodes (power saving mode). A few researchers have worked on this hidden node problem in IEEE802.11ah but could not get a lasting solution to it. Therefore, this paper proposes an algorithm which detects hidden nodes and also proposes a theoretical solution based on previous works which was also experimentally verified through the BIHD-CM.

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