Sparrow: An energy harvesting wireless sensor node

Deaconu, Ioan-Dragoș; Tudose, Dan Ștefan

doi:10.1109/codit.2017.8102626

Cited by 4 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SAMR21-XPRO [11] is an evaluation board used in several works [48,74,83], which consumes high idle current due to its many peripherals. Sparrow [22] also consumes high idle current (30 µA). CC2650STK [42] is a complete sensor board built on the CC2650, which is low power but provides a limited development environment (only board flashing and packet reading) [39].…”

Section: -Bit Motes (The Third Generation)mentioning

confidence: 99%

System Architecture Directions for Post-SoC/32-bit Networked Sensors

Kim

Andersen

Chen

et al. 2018

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

The emergence of low-power 32-bit Systems-on-Chip (SoCs), which integrate a 32-bit MCU, radio, and flash, presents an opportunity to reexamine design points and trade-offs at all levels of the system architecture of networked sensors. To this end, we develop a post-SoC/32-bit design point called Hamilton, showing that using integrated components enables a ∼$7 core and shifts hardware modularity to design time. We study the interaction between hardware and embedded operating systems, identifying that (1) post-SoC motes provide lower idle current (5.9 µA) than traditional 16-bit motes, (2) 32-bit MCUs are a major energy consumer (e.g., tick increases idle current >50 times), comparable to radios, and (3) thread-based concurrency is viable, requiring only 8.3 µs of context switch time. We design a system architecture, based on a tickless multithreading operating system, with cooperative/adaptive clocking, advanced sensor abstraction, and preemptive packet processing. Its efficient MCU control improves concurrency with ∼30% less energy consumption. Together, these developments set the system architecture for networked sensors in a new direction. CCS CONCEPTS • Computer systems organization → Embedded systems; Sensor networks; System on a chip;

show abstract

Section: -Bit Motes (The Third Generation)mentioning

confidence: 99%

System Architecture Directions for Post-SoC/32-bit Networked Sensors

Kim

Andersen

Chen

et al. 2018

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

show abstract

“…In [13] a multi-transducer platform for piezoelectric and solar harvesting technologies for both indoor and outdoor use is deployed. The authors in [14] present an energy harvesting wireless sensor node, called Sparrow, which can offer an autonomous, energy harvesting WSN. In [15], an integrated converter that supports multiple and heterogeneous sources for energy harvesting tasks has been designed which can potentially achieve efficiency up to 89.6% for the single harvester case.…”

Section: Introductionmentioning

confidence: 99%

A Smart Energy Harvesting Platform for Wireless Sensor Network Applications

et al. 2019

View full text Add to dashboard Cite

Advances in micro-electro-mechanical systems (MEMS) as well as the solutions for power scavenging can now provide feasible alternatives in a variety of applications. Wireless sensor networks (WSN), which operate on rechargeable batteries, could be based on a fresh basis which aims both at environmental power collection and wireless charging in various shapes and scales. Consequently, a potential illimitable energy supply can override the hypothesis of the limited energy budget (which can also impact the system’s efficiency). The presented platform is able to efficiently power a low power IoT system with processing, sensing and wireless transmission potentials. It incorporates a cutting-edge energy management IC that enables exceptional energy harvesting, applicable on low power and downsized energy generators. In contrast to other schemes, it supports not only a range of power supply alternatives, but also a compound energy depository system. The objective of this paper is to describe the design of the system, the integrated intelligence and the power autonomy performance.

show abstract

GWINs: Group-Based Medium Access for Large-Scale Wireless Powered IoT Networks

Iqbal

Lee

2019

IEEE Access

View full text Add to dashboard Cite

Internet of Things (IoT) provides a framework for interconnecting, controlling and monitoring of real-world objects and smart-devices through sensors. The sensors need energy sources to continuously operate. Since the design and the size constraints may impede a sensor node to have a distinct power source, the Energy Harvesting (EH) techniques emerge to cope with the energy constraint problem. Massive IoT networks with the Radio Frequency (RF) EH capability requires new accessing methods to reduce or mitigate interference and collisions. In this paper, we propose a group-based Medium Access Control (MAC) protocol, where a group head coordinates the corresponding nodes. The group heads working as Hybrid Access Points (HAPs) provide nodes with power and relay their data to the base station (BS). The HAPs use a distributed coordination function (DCF) to access the channel, along with in-group coordinating mechanism. In a group, nodes reduce collisions by using a frame slotted ALOHA to access the medium, with the addition of the EH mechanism. Nodes utilize the harvest-transmit-and-sleep protocol to harvest energy, to transmit information utilizing the harvested energy and to sleep when channel is inactive. We study channel models for different communication environments influencing the usability of RF energy harvesting and examine their impact on the network performance. We aim to mitigate inter-group and intra-group collisions and to provide an energy harvesting and data relaying mechanism in a distributed manner. Performance evaluations are carried out through extensive simulations and the model and analysis are verified. It is shown that the analysis results match well with those of simulations. The proposed distributed group-coordination mechanism achieves significant network performance gain over the conventional schemes. The effectiveness of the proposed scheme is shown by the network throughput, and the energy efficiency.INDEX TERMS Internet of Things (IoT), energy harvesting networks (EHN), medium access control (MAC), backscatter tags.

show abstract

Sparrow: An energy harvesting wireless sensor node

Cited by 4 publications

References 11 publications

System Architecture Directions for Post-SoC/32-bit Networked Sensors

System Architecture Directions for Post-SoC/32-bit Networked Sensors

A Smart Energy Harvesting Platform for Wireless Sensor Network Applications

GWINs: Group-Based Medium Access for Large-Scale Wireless Powered IoT Networks

Contact Info

Product

Resources

About