A Horizontally Scalable and Reliable Architecture for Location-Based Publish-Subscribe

Chapuis, Bertil; Garbinato, Benoît; Mourot, Lucas

doi:10.1109/srds.2017.16

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…Consumer Producer Consumer Producer [11] Yes No No Yes [12,13] No Yes Yes No [21] No Yes Yes No [22] No Yes Yes No [23] No Yes Yes No [24] No Yes Yes Partially [9,10] Partially Partially Yes Yes [4] Partially Partially Yes Yes [14,25] Yes Yes Yes Yes Chen et al [11] propose a spatial middleware service that delivers messages to clients when they enter "zones" defined by data producers, i.e., producer geofences. While this allows data producers to control data distribution based on areas they consider as relevant, data consumers cannot control data distribution with consumer geofences.…”

Section: Rwmentioning

confidence: 99%

“…Chapuis et al [9,10] propose a horizontally scalable pub/sub architecture that supports matching based on a circular geofence around publishers and around subscribers. Hence, their message matching does not consider client locations independent of geofences.…”

Section: Rwmentioning

confidence: 99%

“…Existing work has used spatial data for various reasons before, e.g., [9,10,11,4,12,13,14]. Each of these papers, however, uses a different subset of geo-context information; neither paper covers the entire geo-context of data producers and consumers.…”

Section: Introductionmentioning

confidence: 99%

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GeoBroker: Leveraging geo-contexts for IoT data distribution

Hasenburg

Bermbach

2020

Computer Communications

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In the Internet of Things, the relevance of data often depends on the geographic context of data producers and consumers. Today's data distribution services, however, mostly focus on data content and not on geo-context, which could help to reduce the dissemination of excess data in many IoT scenarios. In this paper, we propose to use the geo-context information associated with devices to control data distribution. We define what geocontext dimensions exist and compare our definition with concepts from related work.Furthermore, we designed GeoBroker, a data distribution service that uses the location of things, as well as geofences for messages and subscriptions, to control data distribution. This way, we enable new IoT application scenarios while also increasing overall system efficiency for scenarios where geo-contexts matter by delivering only relevant messages. We evaluate our approach based on a proof-of-concept prototype and several experiments.

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Section: Rwmentioning

confidence: 99%

Section: Rwmentioning

confidence: 99%

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GeoBroker: Leveraging geo-contexts for IoT data distribution

Hasenburg

Bermbach

2020

Computer Communications

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“…In order to adopt subscription/publication mechanism in MSNs, some nodes can be selected as message brokers, and cluster heads can be chosen to play this role. 16 The choice of cluster heads is very important, and improper selection of cluster heads will result in inefficient data transmission.…”

Section: Related Workmentioning

confidence: 99%

A novel routing protocol for content-based publish/subscribe model in mobile sensor networks

Lin

Chen

Kudjo

et al. 2019

International Journal of Distributed Sensor Networks

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In the mobile sensor networks, the sink node registers its own events in the network, and when the sensor node finds an event of interest to the sink node, it sends a response message. The data traffic of the communication process in the application scenario has a bursting feature, and sometimes network congestion occurs. Therefore, when designing the data routing protocol, it is necessary to consider how to reduce the communication overhead in the network and improve the success rate of the query. To address this issue, this article proposes a routing protocol for content-based publish/subscribe, which is applicable in mobile sensor networks. The core idea of routing protocol for content-based publish/subscribe is that all sensor nodes in the network are divided into several clusters, and the transmission of sensing events is based on these clusters. The protocol consists of event publishing, subscription, matching, and unsubscribe. The inquirers send subscription information to the network, which are saved in the cluster head network. Published events are also transmitted to the cluster head network and the matching computation is performed. If the match is successful, events will be sent to subscribers, thus improving the success rate of queries. The simulations show that compared with existing methods, routing protocol for content-based publish/subscribe consumes lower matching events transmission energy to obtain a higher success rate. In the case of a large number of published events, the network lifetime of the routing protocol for content-based publish/subscribe protocol can be increased by 28%–54%, and the subscription success rate remains above 80%.

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Towards Geo-Context Aware IoT Data Distribution

Hasenburg

Bermbach

2020

Lecture Notes in Computer Science

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A Horizontally Scalable and Reliable Architecture for Location-Based Publish-Subscribe

Cited by 6 publications

References 21 publications

GeoBroker: Leveraging geo-contexts for IoT data distribution

GeoBroker: Leveraging geo-contexts for IoT data distribution

A novel routing protocol for content-based publish/subscribe model in mobile sensor networks

Towards Geo-Context Aware IoT Data Distribution

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