Abstract
With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets much more attention. Neighbor discovery is an indispensable procedure in WSNs. The existing deterministic neighbor discovery algorithms in WSNs ensure that successful discovery can be obtained within a given period of time, but the average discovery delay is long. It is difficult to meet the need for rapid discovery in mobile low duty cycle environments. In addition, with the rapid development of IoT, the node densities of many WSNs greatly increase. In such scenarios, existing neighbor discovery methods fail to satisfy the requirement in terms of discovery latency under the condition of the same energy consumption. This paper proposes a group-based fast neighbor discovery algorithm (GBFA) to address the issues. By carrying neighbor information in beacon packet, the node knows in advance some potential neighbors. It selects more energy efficient potential neighbors and proactively makes nodes wake up to verify whether these potential neighbors are true neighbors, thereby speeding up neighbor discovery, improving energy utilization efficiency and decreasing network communication load. The evaluation results indicate that, compared with other methods, GBFA decreases the average discovery latency up to at the same energy budget.
Highlights
With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets more attention [1]
We introduce the concept of energy efficiency to fairly and conveniently compare the performances of all related methods
With the rapid development of IoT, existing neighbor discovery methods in WSNs fail to satisfy some requirements in IoT-oriented WSNs
Summary
With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets more attention [1]. WSN is self-organizing network which contains lots of sensors with very limited energy. Sensed data are forwarded in a multi-hop manner to sink node or base station. WSNs are indispensable for IoT, especially in the cases where sensed data volume becomes more huge with the development of IoT. These data can be processed in sink node firstly and only a fraction of data is sent to Cloud, the network communication load can be reduced significantly. In the cases where a large number of Sensors 2018, 18, 3319; doi:10.3390/s18103319 www.mdpi.com/journal/sensors
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