scholarly journals On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3718 ◽  
Author(s):  
Rajeev Piyare ◽  
Amy Murphy ◽  
Michele Magno ◽  
Luca Benini
Keyword(s):  
Energy Efficiency ◽  
Low Power ◽  
Long Range ◽  
Energy Efficient ◽  
High Efficiency ◽  
High Rate ◽  
Smart Devices ◽  
Delivery Ratio ◽  
Ultra Low Power ◽  
On Demand

Energy efficiency is crucial in the design of battery-powered end devices, such as smart sensors for the Internet of Things applications. Wireless communication between these distributed smart devices consumes significant energy, and even more when data need to reach several kilometers in distance. Low-power and long-range communication technologies such as LoRaWAN are becoming popular in IoT applications. However, LoRaWAN has drawbacks in terms of (i) data latency; (ii) limited control over the end devices by the gateway; and (iii) high rate of packet collisions in a dense network. To overcome these drawbacks, we present an energy-efficient network architecture and a high-efficiency on-demand time-division multiple access (TDMA) communication protocol for IoT improving both the energy efficiency and the latency of standard LoRa networks. We combine the capabilities of short-range wake-up radios to achieve ultra-low power states and asynchronous communication together with the long-range connectivity of LoRa. The proposed approach still works with the standard LoRa protocol, but improves performance with an on-demand TDMA. Thanks to the proposed network and protocol, we achieve a packet delivery ratio of 100% by eliminating the possibility of packet collisions. The network also achieves a round-trip latency on the order of milliseconds with sensing devices dissipating less than 46 mJ when active and 1.83 μW during periods of inactivity and can last up to three years on a 1200-mAh lithium polymer battery.

scholarly journals Exploiting Data-dependencies in Ultra Low-power DSP Arithmetic

VLSI Design ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 349-363
Author(s):  
V. A. Bartlett ◽  
E. Grass
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Low Power ◽  
Energy Efficient ◽  
Dynamic Logic ◽  
Low Power Consumption ◽  
Ultra Low Power ◽  
Data Dependencies ◽  
Simulation Results ◽  
Asynchronous Environments

Strategies for the design of ultra low power multipliers and multiplier-accumulators are reported. These are optimized for asynchronous applications being able to take advantage of data-dependent computation times. Nevertheless, the low power consumption can be obtained in both synchronous and asynchronous environments. Central to the energy efficiency is a dynamic-logic technique termed Conditional Evaluation which is able to exploit redundancies within the carry-save array and deliver energy consumption which is also heavily data-dependent.Energy efficient adaptations for handling two's complement operands are introduced. Area overheads of the proposed designs are estimated and transistor level simulation results of signed and unsigned multipliers as well as a signed multiplier-accumulator are given.Normalized comparisons with other designs show our approach to use less energy than other published multipliers.

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

An Ultra-Low-Power Long Range Battery/Passive RFID Tag for UHF and Microwave Bands With a Current Consumption of 700 nA at 1.5 V

2007 ◽  
Vol 54 (7) ◽  
pp. 1500-1512 ◽  
Author(s):  
Vijay Pillai ◽  
Harley Heinrich ◽  
David Dieska ◽  
Pavel V. Nikitin ◽  
Rene Martinez ◽  
...  
Keyword(s):  
Low Power ◽  
Long Range ◽  
Ultra Low Power ◽  
Rfid Tag ◽  
Current Consumption ◽  
Passive Rfid ◽  
A Current

scholarly journals Energy Efficient Composite Metric Based Routing Protocol for Internet of Things

2020 ◽  
Vol 26 (11) ◽  
pp. 1366-1381
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Link Quality ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Hop Count ◽  
Battery Discharge

The Routing Protocol for Low Power and Lossy Networks (RPL) is operated by gadgets comprised of many devices of embedded type with limited energy, memory as well as resources that do their process. The improvements in the life of the network and energy conservation are the key challenging features in Low Power and Lossy Networks (LLN). Obviously, the LLN has a key strategic part in routing. The Internet of Things (IoT) device is expected to make the apt choice. In LLN, the poor routing choice leads to traffic congestion, reduction in power as well as packet loss ratio. The task in the proposal analyzes Delay (D), Load (L) and Battery Discharge Index (BDI) pivoted Energy Efficient Composite Metric Routing (EECMR) protocol for LLN. The performance of the work in the proposal is evaluated by the COOJA simulator. It outperforms with respect to Network Lifetime (NL), Delay as well as Packet Delivery Ratio (PDR) contrasted to the routing metrics like Traffic Load (TL), Link Quality (LQ), Residual Energy (RE), RE-Battery Discharge Index (RE-BDI) and Hop Count (HC).

Reliable and Energy-Efficient Routing Scheme for Underwater Wireless Sensor Networks (UWSNs)

2021 ◽  
Vol 11 (4) ◽  
pp. 42-58
Author(s):  
Semab Iqbal ◽  
Israr Hussain ◽  
Zubair Sharif ◽  
Kamran Hassan Qureshi ◽  
Javeria Jabeen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Transmission Error ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Underwater Communication ◽  
Radio Waves ◽  
Energy Efficient Routing ◽  
Resource Exploration

Despite the fact that the ocean plays a role in everything from the air we breathe to daily weather and climate patterns, we know very little about our ocean. Underwater wireless sensor network (UWSN) is one of the options helping us to discover some domains such as natural assets and underwater resource exploration. However, the acoustic signal is the only suitable option in underwater communication in the absence of radio waves, which face a number of challenges under this environment. To overcome these issues, many routing schemes are introduced by researchers though energy consumption is still a challenge in underwater communication. To overcome the issue of rapid energy consumption, a reliable and energy-efficient routing method is introduced that avoids the redundant forwarding of data; hence, it achieves energy efficiency and eventually prolongs the network lifetime. Simulation results support the claim that the proposed scheme achieves energy efficiency along higher delivery ratio by reducing the data transmission error rate during the routing decisions.

Implementation of High-Efficiency and Ultra-Low-Power Transceiver for the Design of Body Channel Communication Applications

2020 ◽  
Vol 39 (12) ◽  
pp. 6034-6057
Author(s):  
Vitawat Sittakul ◽  
S. Vijayalakshmi ◽  
V. Nagarajan ◽  
K. Sakthidasan Sankaran ◽  
Sakthivel Sankaran
Keyword(s):  
Low Power ◽  
High Efficiency ◽  
Ultra Low Power

scholarly journals Level Converters for Ultra Low Power IoT Applications

2018 ◽  
Vol 7 (2.16) ◽  
pp. 19
Author(s):  
T Yugendra Chary ◽  
S Anitha ◽  
M Alamillo ◽  
Ameet Chavan
Keyword(s):  
Energy Efficiency ◽  
Low Power ◽  
Slight Reduction ◽  
Dramatic Improvement ◽  
Modest Improvement ◽  
Ultra Low Power ◽  
Iot Applications ◽  
Communication Devices ◽  
And Performance ◽  
Level Converter

For efficient ultra-low power IoT applications, working with various communication devices and sensors which operating voltages  from subthreshold to superthreshold levels which requires wide variety of robust level converters for signal interfacing with low power dissipation. This paper proposes two topologies of level converter circuits that offer dramatic improvement in power and performance when compared to the existing level converters that shift signals from sub to super threshold levels for IoT applications. At 250 mV, the first proposed circuit - a modification of a tradition al current mirror level converter - offers the best energy efficiency with approximately seven times less energy consumption per operation than the existing design, but suffers from a slight reduction in performance.  However, a second proposed circuit - based on a two-stage level converter - at the same voltage enhances performance by several orders of magnitude while still maintaining a modest improvement in energy efficiency.  The Energy Delay Products (EDP) of the two proposed designs are equivalent and are approximately four times better than the best existing design.  Consequently, the two circuit options either optimizes power or performance with improved overall EDP.  

Sign in / Sign up

Export Citation Format

Share Document