Highly-Efficient Bulk Data Transfer for Structured Dissemination in Wireless Embedded Network Systems

Zhao, Zhiwei; Wang, Zi; Min, Geyong; Cao, Yue

doi:10.1016/j.sysarc.2016.09.001

Cited by 11 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Seda [20] is a partial retransmission scheme to save the transmission cost in sensor networks. ULTRA [29] is an out-of-order data transmission scheme for bulk data transfer, where all packets can be delivered to the destination nodes without following strict sequences. TinyRS [21] employs FEC codes to improve the packet reception rate for wireless transmissions.…”

Section: Related Workmentioning

confidence: 99%

Edge-Aided Reliable Data Transmission for Heterogeneous Edge-IoT Sensor Networks

Cai

et al. 2019

Sensors

View full text Add to dashboard Cite

Wireless sensor networks have been attracting research attention for the past decade and will continue to be a hot topic due to the emerging trend of Internet-of-Things (IoT). Edge computing for IoT (Edge-IoT) is a promising framework that can help low-powered sensor networks to conduct complex computational tasks. Different from the existing works that focus on cooperative task execution for edge and sensor networks, in this paper, we investigate the problem of reliable data transmission in edge-aided sensor networks. Firstly, we discuss how edge servers can help to improve the data transmission of sensor networks. Secondly, we propose a forwarding scheme for edge nodes to forward packets according to coverage and corresponding interference. Thirdly, we propose an edge-based error recovery approach. By employing edge servers for data transmission and error recovery, the efficiency and reliability of data transmissions can be largely improved.

show abstract

Section: Related Workmentioning

confidence: 99%

Edge-Aided Reliable Data Transmission for Heterogeneous Edge-IoT Sensor Networks

Cai

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…The resulting performance ratio of our algorithm is

and the time complexity is O(∆log

n). Following Sprinkler, there are also other works that disseminate large data object in centralized fashion [ 8 , 42 , 43 , 44 ]. However, since they concentrate more on the efficiency optimization, we will introduce these works in Section 2.6 .…”

Section: Bulk Data Disseminationmentioning

confidence: 99%

Bulk Data Dissemination in Low Power Sensor Networks: Present and Future Directions

Song

2017

Sensors

View full text Add to dashboard Cite

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.

show abstract

“…The input-output power consumption is in direct relation to the product of the switching activity present on the input-output by the average capacitive load of the switching elements. In [5,6], it was shown that the capacitive load of the external input/output is several orders of magnitude greater than that of the internal switching nodes.…”

Section: Introductionmentioning

confidence: 99%

Сoding to Reduce the Energy of Data Movement

Yareshchenko¹,

Kosenko²

2023

CNCS

View full text Add to dashboard Cite

The problem of reducing power dissipation in global interconnection lines while maintaining high performance is considered in the paper. High switching activity leads to significant communication losses due to communication capacitances between long lines. New byte-addressed non-volatile memory technologies, such as phase change memory, enable systems with large persistent memory, improving reliability and potentially reducing power consumption. However, these technologies only support a limited number of write operations over the lifetime per cell, and consume most of their power when the state of a bit changes during a write. Low power coding techniques are required to reduce switching activity during device-to-device or on-chip communications. The purpose of the article is to develop a method for constructing a set of unit distance codes, analyzing their characteristics and choosing codes that satisfy the given properties. The address bus coding methods with the least switching activity are considered. To reduce dynamic energy losses in the address bus and minimize communication losses between closely spaced lines, Gray code is used, which has a number of disadvantages. Conclusions. The type of codes that have the same properties as Gray codes, i.e. unit distance codes, is determined. A method for constructing a set of unit distance codes, analyzing their characteristics, and choosing codes that satisfy the given properties has been developed. By using the entire set of codes, developers have more choices than using only Gray codes, and this leads to better results.

show abstract

Highly-Efficient Bulk Data Transfer for Structured Dissemination in Wireless Embedded Network Systems

Cited by 11 publications

References 38 publications

Edge-Aided Reliable Data Transmission for Heterogeneous Edge-IoT Sensor Networks

Edge-Aided Reliable Data Transmission for Heterogeneous Edge-IoT Sensor Networks

Bulk Data Dissemination in Low Power Sensor Networks: Present and Future Directions

Сoding to Reduce the Energy of Data Movement

Contact Info

Product

Resources

About