Presence Aware Power Saving Mode (PA-PSM) Development for IoT Devices for Energy Conservation

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.

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

Wasit Journal of Engineering Sciences ◽

10.31185/ejuow.vol6.iss3.100 ◽

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.

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

Sensors ◽

10.3390/s21123987 ◽

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.

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