LEMoNet: low energy wireless sensor network design for data center monitoring

Li, Chenhe; Li, Jun; Jafarizadeh, Mehdi; Badawy, Ghada; Zheng, Rong

doi:10.23919/ifipnetworking46909.2019.8999456

Cited by 3 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While some sensors are moveless and stationary, other sensors can be very mobile when attached to moving objects. Most studies of this type of network have focused on energy-efficient and low-processing routing [96]- [100].…”

Section: B What Is a Sensor Networkmentioning

confidence: 99%

Wireless Sensor Network as a Mesh: Vision and Challenges

et al. 2022

View full text Add to dashboard Cite

Nowadays, network technologies are developing very rapidly. The growing volume of transmitted information (video, data, VoIP, etc.), the physical growth of networks, and inter-network traffic are forcing manufacturers to produce more powerful and ''smart'' devices that use new methods of transferring and sorting data. Such connected smart devices (IoT) are used in intelligently controlled traffic for self-driving vehicles in Vehicle Adhoc Networks (VANET), in electricity and water in smart cities, and in-home automation in smart homes. These types of connected Internet of Things (IoT) devices are used to leverage different types of network structures. Such IoT sensor devices can be deployed as a wireless sensor network (WSN) in a mesh topology. Both WSNs and Wireless Mesh Networks (WMNs) are easy to organize as well as to deploy. In this case, there are many reasons for combining these different types of networks. In particular, the detailed sensory capabilities of sensor networks may be improved by increasing bandwidth, reliability and power consumption in the mesh topology. However, there are currently only a handful of studies devoting to integrate these two different types of networks. In addition, there is no systematic review of existing interconnection methods. That is why in this article we explore the existing methods of these two networks and provide an analytical basis for their relationship. We introduce the definition of WSN and WMN and then look at some case studies. Afterward, we present several challenges and opportunities in the area of combined Wireless Mesh Sensor Network (WMSN) followed by a discussion on this interconnection through literature review and hope that this document will attract the attention of the community and inspire further research in this direction.

show abstract

Section: B What Is a Sensor Networkmentioning

confidence: 99%

Wireless Sensor Network as a Mesh: Vision and Challenges

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The forwarding plane in SoftBLE is the same as the reliable -Scannable Connectionless (SCL)-mode in Low Energy Monitoring Network (LEMoNet) [15]. Provisioned sensors wake up at the beginning of each duty cycle, read their measurements, and advertise their measured data in ADV_SCAN_IND packets.…”

Section: Sdn Framework Componentsmentioning

confidence: 99%

“…We compare the performance of SoftBLE with a similar 2-tier BLE-based network called LeMoNet [15]. Compared to SoftBLE, LeMoNet uses fixed parameter settings and cannot be reconfigured centrally except for over-the-air reprogramming.…”

Section: Baseline Approachesmentioning

confidence: 99%

“…Due to limited wireless bandwidth, in absence of efficient cooperation or a wired backbone in a hierarchical topology, it is well known that individual sensor's goodput in a dense network with a single sink decreases with the number of sensors according to Θ 1 [34]. Thus, recent successful solutions to DC monitoring ( [15] and [7]) employ 2-tier networks where multiple backbone nodes (gateways) connected through wires in the second tier gather data from sensors in the first tier. Battery-powered sensors communicate with the gateways through low-power wireless radios such as ZigBee, BLE or LoRA for better power conservation and low deployment costs.…”

mentioning

confidence: 99%

“…Among competing short-range RF technologies, BLE has gained popularity due to its low power consumption and wide availability [15]. To avoid the overhead of connection establishment and tear down for short messages, many BLE based monitoring systems adopt connection-less advertising modes for sensor data collection.…”

mentioning

confidence: 99%

See 2 more Smart Citations

SoftBLE

Jafarizadeh

Liu

Zheng

2021

Proceedings of the International Conference on Internet-of-Things Design and Implementation

Self Cite

View full text Add to dashboard Cite

Today's Industrial IoT (IIoT) applications often employ large-scale and dense sensor deployments for environmental monitoring. A hierarchical Bluetooth Low Energy (BLE) based architecture can facilitate power efficiency and reliability for data collection in dense networks. But if the network is static with fixed parameter settings, it can not be adaptable to dynamic application requirements. Although BLE is a parametric protocol, it does not provide any builtin feature for parameter tuning. To achieve network adaptability, we introduce and design SoftBLE, a Software Defined Networking (SDN) framework that provides controllability for BLE based 2-tier networks. It takes advantages of advanced control knobs recently available in BLE protocol stacks. SoftBLE is complemented by two orchestration algorithms to optimize gateway and sensor parameters. Evaluation results from both an experimental testbed and a large-scale simulation study show that almost all the SoftBLE sensors can save around 70% of transmission power while keeping Packet Reception Rate (PRR) above 99.9%. CCS CONCEPTS• Networks → Network protocol design; Ad hoc networks.

show abstract

A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission

Liu,

Zhang

2024

IEEE Access

View full text Add to dashboard Cite

LEMoNet: low energy wireless sensor network design for data center monitoring

Cited by 3 publications

References 14 publications

Wireless Sensor Network as a Mesh: Vision and Challenges

Wireless Sensor Network as a Mesh: Vision and Challenges

SoftBLE

A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission

Contact Info

Product

Resources

About