English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we study the downward routing for network control/actuation inlarge-scale and heterogeneous wireless sensor networks (WSNs) and Internet ofThings (IoT). We propose the Opportunistic Source Routing (OSR), a scalable andreliable downward routing protocol for WSNs/IoT. OSR introduces opportunisticrouting into traditional source routing based on the parent set of a node'supward routing in data collection, significantly addressing the drastic linkdynamics in low-power and lossy WSNs. We devise a novel adaptive Bloom filtermechanism to effectively and efficiently encode a downward source-route in OSR,which enables a significant reduction of the length of source-route field inpacket header. OSR is scalable to very large-size WSN/IoT deployments, sinceeach resource-constrained node in the network only stores the set of its directchildren. The probabilistic nature of the Bloom filter passively exploresopportunistic routing. Upon a delivery failure at any hop along the downwardpath, OSR actively performs opportunistic routing to bypass the obsolete/badlink. We demonstrate the desirable scalability of OSR against the standard RPLdownward routing. We evaluate the performance of OSR via both simulations andreal-world testbed experiments, in comparison with the standard RPL (bothstoring mode and non-storing mode), ORPL, and the representative disseminationprotocol Drip. Our results show that OSR significantly outperforms RPL and ORPLin scalability and reliability. OSR also achieves significantly better energyefficiency compared to TinyRPL and Drip which are based on the same TinyOSplatform as OSR implementation.

Scalable Downward Routing for Wireless Sensor Networks and Internet of Things Actuation