Name
Abstract | ||
|---|---|---|
Due to the constraint of energy resource, the radio of sensor nodes usually works in a duty-cycled mode. Since the sleep schedules of nodes are unsynchronized, a sender has to send preambles to coordinate with its receiver(s). In such contexts, opportunistic forwarding, which takes the earliest forwarding opportunity instead of a deterministic forwarder, shows great advantage in utilizing channel resource. The multiple forwarding choices with temporal and spatial diversity increase the chance of collision tolerance in concurrent transmissions, potentially enhancing end-to-end network performance. However, the current channel contention mechanism based on collision avoidance is too conservative to exploit concurrency. To address this problem, we propose COF, a practical protocol to exploit the potential Concurrency for low power Opportunistic Forwarding. COF determines whether a node should concurrently transmit or not, by incorporating: (1) a distributed and light-weight link quality measurement scheme for concurrent transmission and (2) a synthetic method to estimate the benefit of potential concurrency opportunity. COF can be easily integrated into the conventional unsynchronized sender-initiated protocols. We evaluate COF on a 40-node testbed. The results show that COF can reduce the end-to-end delay by up to 41% and energy consumption by 18.9%, compared with the state-of-the-art opportunistic forwarding protocol. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICNP.2015.13 | 2015 IEEE 23rd International Conference on Network Protocols (ICNP) |
Keywords | Field | DocType |
Wireless sensor networks,Concurrent transmission,Opportunistic forwarding,Low power | Antenna diversity,Concurrency,Computer science,Testbed,Computer network,Communication channel,Schedule,Wireless sensor network,Energy consumption,Network performance,Distributed computing | Conference |
ISSN | Citations | PageRank |
1092-1648 | 3 | 0.39 |
References | Authors | |
25 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daibo Liu | 1 | 27 | 6.15 |
| mengshu hou | 2 | 105 | 15.74 |
| Zhichao Cao | 3 | 172 | 23.04 |
| Yuan He | 4 | 1012 | 81.82 |
| Xiaoyu Ji | 5 | 149 | 17.14 |
| Xiaolong Zheng | 6 | 150 | 23.15 |