Scalable Downward Routing for Wireless Sensor Networks and Internet of Things Actuation
Xiaoyang Zhong, Yao Liang

TL;DR
This paper introduces OSR, a scalable and reliable downward routing protocol for large-scale WSNs and IoT, using opportunistic routing and adaptive Bloom filters to improve efficiency and robustness.
Contribution
The paper presents OSR, a novel downward routing protocol that combines opportunistic routing with adaptive Bloom filters for improved scalability and reliability in WSNs and IoT.
Findings
OSR outperforms RPL and ORPL in scalability and reliability.
OSR achieves better energy efficiency than TinyRPL and Drip.
OSR is effective in large, heterogeneous WSN/IoT deployments.
Abstract
In this paper, we study the downward routing for network control/actuation in large-scale and heterogeneous wireless sensor networks (WSNs) and Internet of Things (IoT). We propose the Opportunistic Source Routing (OSR), a scalable and reliable downward routing protocol for WSNs/IoT. OSR introduces opportunistic routing into traditional source routing based on the parent set of a node's upward routing in data collection, significantly addressing the drastic link dynamics in low-power and lossy WSNs. We devise a novel adaptive Bloom filter mechanism to effectively and efficiently encode a downward source-route in OSR, which enables a significant reduction of the length of source-route field in packet header. OSR is scalable to very large-size WSN/IoT deployments, since each resource-constrained node in the network only stores the set of its direct children. The probabilistic nature of…
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Taxonomy
TopicsCaching and Content Delivery · Energy Efficient Wireless Sensor Networks · Opportunistic and Delay-Tolerant Networks
