Abstract

Wireless sensor network-based (WSN-based) applications need an efficient and reliable data dissemination service to facilitate maintenance, management and data distribution tasks. As WSNs nowadays are becoming pervasive and data intensive, bulk data dissemination protocols have been extensively studied recently. This paper provides a comprehensive survey of the state-of-the-art bulk data dissemination protocols. The large number of papers available in the literature propose various techniques to optimize the dissemination protocols. Different from the existing survey works which separately explores the building blocks of dissemination, our work categorizes the literature according to the optimization purposes: Reliability, Scalability and Transmission/Energy efficiency. By summarizing and reviewing the key insights and techniques, we further discuss on the future directions for each category. Our survey helps unveil three key findings for future direction: (1) The recent advances in wireless communications (e.g., study on cross-technology interference, error estimating codes, constructive interference, capture effect) can be potentially exploited to support further optimization on the reliability and energy efficiency of dissemination protocols; (2) Dissemination in multi-channel, multi-task and opportunistic networks requires more efforts to fully exploit the spatial-temporal network resources to enhance the data propagation; (3) Since many designs incur changes on MAC layer protocols, the co-existence of dissemination with other network protocols is another problem left to be addressed.

Highlights

  • The recent advances of the low-power wireless communication and computation has led to the development of low power wireless sensor networks (WSNs) for the Internet of Things (IoT)

  • Considering the application scenarios, the characteristics of WSNs and the dissemination protocol, we summarize the requirements for bulk data dissemination as follows

  • Data dissemination protocols have been extensively studied in recent years

Read more

Summary

Introduction

The recent advances of the low-power wireless communication and computation has led to the development of low power wireless sensor networks (WSNs) for the Internet of Things (IoT). In these works, some novel observations and techniques are exploited, such as link correlation [13], constructive interference [14], network coding [15], etc. As many IoT applications of sensor networks are deployed in an indoor environment (e.g., smart home [6], body sensor network [16], etc.), other wireless devices such as WiFi and BlueTooth may cause fierce cross-technology interference (CTI) to WSNs. The recent advances in reducing CTI and enabling cross-technology communication can potentially support further optimization on dissemination in low power WSNs. Coding techniques. Constructive Interference [14,18] is a novel communication technique that supports highly efficient data transmissions in multi-sender multi-receiver scenario, which can be potentially used for optimizing dissemination.

Application Scenarios
Reliability
Scalability
Energy Efficiency
System Overview and Taxonomy
NACK Based Mechanisms
ACK Based Mechanism
Short Summary
Transmission Efficiency
Multi-Hop Pipelining
Sender Selection
Network Coding
Exploring the Synergy among Link Correlation and Rateless Codes
Channel Diversities
Open Issues
Summary of the Literature
Modeling of Dissemination Performance
Cross-Technology Interference and Communications
Error Estimating Codes
Constructive Interference
Co-Existence with Other Network-Layer Protocols
Transparency over MAC Layer
Specific Applications
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.