Efficient Coexistence of Pull-based and Push-based Communication for Content-aware Wake-up Radios in IoT Networks

Centrala begrepp

This work proposes an efficient mechanism to enable the coexistence of pull-based and push-based communication in IoT networks, leveraging content-based wake-up radios to achieve high data retrieval accuracy and energy efficiency.

Sammanfattning

The paper investigates the performance of content-based wake-up (CoWu) radios in enabling the coexistence of pull-based and push-based communication models for IoT data collection.
Key highlights:

The system model considers a base station (BS) that collects data from two types of sensing agents: SAs-Pull (pull-based) and SAs-Push (push-based), which access the shared communication resources.
The BS uses CoWu signals to selectively activate only the SAs-Pull that observe data within a target range, reducing unnecessary wake-ups and improving energy efficiency.
The authors analyze the trade-off between the accuracy of pull-based data retrieval and the probability of successful access for push-based communication, as a function of the resource allocation between the two communication modes.
Theoretical analysis and simulations show that CoWu can outperform a baseline round-robin scheduling approach, achieving up to 38% reduction in the energy consumption of SAs-Pull while maintaining high performance for both communication models.
The paper also identifies the maximum acceptable push-based traffic intensity that can be supported by the system under the constraints of minimum required performance for both communication modes.

Statistik

The probability that exactly w out of Nw SAs-Pull wake up is given by a binomial distribution (eq. 6).
The probability that exactly u out of Nu SAs-Push generate a packet in the previous frame to transmit in the current frame follows a binomial distribution (eq. 7).
The probability of successful access for SAs-Push is given by eq. 13.
The accuracy of the data retrieved from SAs-Pull is given by eq. 14.
The total energy consumption of SAs-Pull is given by eq. 15.

Citat

"Activating pull-based nodes to transmit often for goal-oriented objectives at the BS eventually deteriorates the performance of push-based nodes due to fewer transmission opportunities within the shared communication resources."
"CoWu can manage communication requirements for both pull-based and push-based nodes while realizing the high energy efficiency (up to 38%) of IoT devices, compared to the baseline scheduling method."

Viktiga insikter från

Coexistence of Push Wireless Access with Pull Communication for Content-based Wake-up Radios

by Junya Shirai... på arxiv.org 04-22-2024

https://arxiv.org/pdf/2404.12816.pdf

Djupare frågor

How can the proposed CoWu-based coexistence mechanism be extended to support more than two communication models (e.g., real-time, delay-tolerant) in the IoT network

To extend the CoWu-based coexistence mechanism to support more than two communication models in an IoT network, a hierarchical approach can be implemented. Each communication model can be assigned a priority level based on its criticality or real-time requirements. The CoWu signaling can be designed to include information about the priority level of the communication model, allowing the base station to activate nodes accordingly. For instance, nodes belonging to real-time communication models can be given higher priority in the wake-up process compared to delay-tolerant models. By incorporating this hierarchical structure into the CoWu mechanism, the IoT network can efficiently manage multiple communication models simultaneously.

What are the potential challenges and trade-offs in designing a dynamic resource allocation scheme that can adapt to changing traffic patterns and service requirements of the different communication models

Designing a dynamic resource allocation scheme that can adapt to changing traffic patterns and service requirements of different communication models involves several challenges and trade-offs. One challenge is balancing the allocation of resources between pull-based and push-based communication models based on their varying data transmission needs. Trade-offs may arise in terms of energy efficiency, latency, and throughput when dynamically reallocating resources. Additionally, ensuring fairness and maintaining quality of service across different communication models can be challenging. The scheme must be able to prioritize critical data transmissions while optimizing resource utilization for non-time-sensitive data. Flexibility in resource allocation, efficient scheduling algorithms, and adaptive mechanisms to handle fluctuations in traffic patterns are essential to address these challenges.

Can the content-based wake-up concept be leveraged to enable collaborative sensing and data fusion across heterogeneous IoT devices, beyond just data collection

The concept of content-based wake-up can indeed be leveraged to enable collaborative sensing and data fusion across heterogeneous IoT devices beyond data collection. By incorporating collaborative sensing capabilities into the wake-up process, IoT devices can share information about their local observations and collectively make decisions based on the aggregated data. This collaborative approach can enhance the accuracy and reliability of data fusion by leveraging the diverse sensing capabilities of different devices. Furthermore, the content-based wake-up mechanism can be extended to include data fusion directives in the wake-up signals, enabling devices to synchronize their data transmission based on the fusion requirements. This collaborative sensing and data fusion approach can lead to more comprehensive and insightful analysis of the IoT environment, benefiting applications such as environmental monitoring, smart cities, and industrial automation.