Paper Info
Title
Latency-efficient Data Collection Scheduling in Battery-free Wireless Sensor Networks
Abstract
AbstractThe lifetime of battery-powered Wireless Sensor Networks (WSNs) are limited by the batteries equipped in sensors. The appearance of Battery-free Wireless Sensor Networks (BF-WSNs) breaks through this limitation, in which battery-free sensors harvest energy from sustainable but uncontrollable energy sources in ambient environment, such as solar power, wind power, radio frequency signal power, and so on. The energy characteristics of BF-WSNs make it more challenging for data collection scheduling in BF-WSNs. Latency of data collection is a crucial measurement to evaluate the performance of data collection schedules. In this article, we study the problem of generating data collection schedules with minimum latency for BF-WSNs and propose latency-efficient data collection scheduling algorithms for line BF-WSNs and general BF-WSNs, respectively. Theoretical analysis and extensive simulations are conducted to verify the efficiency and effectiveness of the proposed algorithms.
Year
DOI
Venue
2020
10.1145/3390956
ACM Transactions on Sensor Networks
Keywords
DocType
Volume
Battery-free wireless sensor networks, Data collection, Lattency efficient scheduling
Journal
16
Issue
ISSN
Citations 
3
1550-4859
2
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Tongxin Zhu1213.81
Jianzhong Li23196304.46
Hong Gao31086120.07
Yingshu Li467153.71