Title
Exploiting Concurrency for Opportunistic Forwarding in Duty-Cycled IoT Networks
Abstract
Due to limited energy supply of Internet of Things (Zhao et al. 2018) (IoT) devices, asynchronous duty cycle radio management is widely adopted to save energy. Since the sleep schedules of nodes are unsynchronized, a sender has to repeatedly send frames to coordinate with its receiver or keep sleeping until the receiver’s wake-up time will come according to receiver’s sleep-wake schedule. In such contexts, opportunistic forwarding, which takes the earliest forwarding opportunity instead of a deterministic forwarder, shows great advantage in utilizing channel resource for duty-cycled IoT networks. The multiple forwarding choices with temporal and spatial diversity increase the chance of collision tolerance in opportunistic forwarding, potentially enhancing the overall performance of duty-cycled multi-hop networks. However, since the current channel contention mechanisms mainly focus on collision avoidance, it is too conservative to exploit concurrency. To address this problem, in this article, we propose COF to fully exploit the potential Concurrency for Opportunistic Forwarding in duty-cycled IoT networks. COF achieves concurrent transmission by: (i) measuring conditional link quality under the interference of on-going transmissions, and then (ii) further modeling the benefit of potential concurrency opportunities. According to the expected benefit of concurrency, COF decides whether or not to transmit in concurrent way. COF also adopts concurrency flag and signal features to avoid data collision caused by disordered concurrent transmissions and enhance the accuracy of conditional link quality estimation. COF can be easily integrated into the conventional unsynchronized and duty-cycled protocols. We have implemented COF and evaluated its performance on a 40-node testbed. The results show that COF can effectively exploit potential concurrency in opportunistic forwarding and COF outperforms the state-of-art protocols under diverse traffic load and network density.
Year
DOI
Venue
2019
10.1145/3322496
ACM Transactions on Sensor Networks (TOSN)
Keywords
Field
DocType
Internet of thing (IoT), concurrent transmission, duty-cycled node, industrial sensor networks, opportunistic forwarding
Asynchronous communication,Antenna diversity,Computer science,Concurrency,Communication channel,Computer network,Communication source,Testbed,Exploit,Schedule
Journal
Volume
Issue
ISSN
15
3
1550-4859
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Daibo Liu1276.15
Zhichao Cao217223.04
Yuan He3101281.82
Xiaoyu Ji417320.82
mengshu hou510515.74
Hongbo Jiang698580.52