The pulse protocol: sensor network routing and power saving

Awerbuch, Baruch; Holmer, David; Rubens, Herbert; Chang, Kyung-Bae; Wang, I.-J.

doi:10.1109/milcom.2004.1494871

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…Indeed resources are limited for mobile ad-hoc networks but these resource-restrictions are certainly stronger for sensor nets. Anyhow, the Pulse Protocol [9,10] based on a reactive approach has been used for sensor nets.…”

Section: Related Workmentioning

confidence: 99%

“…So, it is very surprisingly that the closely related factorised distribution performs extraordinarily well in simulations. For our envisaged scenario of a range of [10,100] senders and receivers, a scaling factor of s ∈ [12,14] outperforms all other probability distributions. The paper we will explain this phenomenon.…”

Section: Candidates For Probability Distributionsmentioning

confidence: 99%

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Probability Distributions for Channel Utilisation

Schindelhauer

Voß

2005

Ad-Hoc, Mobile, and Wireless Networks

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Sensor nets have many undisputed fields of application. A paradigm of communication is the use of one control channel in the MAC layer. We challenge this paradigm for nodes with very restricted hardware resources. In our model nodes support the use of different channels and use clock synchronisation. We present a simple probabilistic synchronised channel utilisation scheme for wireless communication. The main features are its simplicity, robustness against radio interference, the high throughput caused by less interfering signals, and predictable energy consumption. For this, the channel selection is based on a carefully chosen probability distribution maximising the expected number of successfully delivered packets up to a constant factor. Combined with a standard synchronisation scheme it provides a novel energyefficient, robust, and fast message delivery service for sensor networks where data gathering is not available due to memory restrictions.

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Section: Related Workmentioning

confidence: 99%

Section: Candidates For Probability Distributionsmentioning

confidence: 99%

Probability Distributions for Channel Utilisation

Schindelhauer

Voß

2005

Ad-Hoc, Mobile, and Wireless Networks

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“…MQTT Broker based on mesh network will be the best way for Smart home in the future. The Industrial Internet of Things (IIoT) can be defined as a system of sensors and other devices interacting with industrial and manufacturing systems (Awerbuch et al, 2004) all in an effort to enhance business operations. Industries such as manufacturing, power consumption, energy, oil & gas… deploy massive numbers of sensors.…”

Section: Methodsmentioning

confidence: 99%

Mesh Network Based on MQTT Broker for Smart Home and IIoT Factory

Anh

2021

ASEAN J. Sci. Eng.

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The Industrial Internet of Things (IIoT) provides connection among devices with the ability to monitor and exchange sensor data through the Internet. The need for reliability and high-quality data, as soon as possible that data monitoring able to afford the requirements from the IoT industrial standards. Recently, researchers have created more suitable communication protocols for IIoT devices, of which each has advantages such as XMPP, MQTT, AMQP in which MQTT is most widely used. This study proposes the utilization of MQTT as a communication protocol, which is one of the data communication protocols for IIoT. This work used temperature and humidity sensors, accelerometer sensors, current and voltage sensors because the digital and analog parameters are often needed as parameters of IIoT conditions. Data were scaled in real-time and stored in MySQL database. This study is also completed by mesh networks to deliver data from source to destination efficiently, these nodes using MQTT-based publish and subscribe. The result of this work demonstrates the transmission of data quality and reliability using MQTT protocol and the efficient power saving in mesh networks.

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“…CTP assumes the availability of link quality estimates used to compute the expected number of transmissions (ETX) it takes for the node to successfully send a unicast packet, which is used as the routing gradient. Pulse routing [26] too uses flooding to periodically create a spanning tree rooted at the "pulse source". Other nodes wanting to communicate with the "pulse source" send reservation packets to establish the reverse communication path.…”

Section: Related Workmentioning

confidence: 99%

Dynamic state-based routing for load balancing and efficient data gathering in wireless sensor networks

Ranganathan

Berman

2010

2010 International Symposium on Collaborative Technologies and Systems

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Data gathering is a fundamental operation in wireless sensor networks. For the online data gathering problem, we consider the key issues of balancing the load on the nodes to achieve longer network lifetime, and that of balancing the load on the network links to achieve greater reliability in the network. We model the given network as a shortest-distance DAG D, which defines a set of parent nodes for each node that determine the minimum-hops paths from the node to a sink. Data gathering in D is accomplished using a dynamic routing approach, where each node selects a parent using a parent selection function σ to forward the sensed data, which generates a dynamic forest (D, σ) in the network. We investigate a dynamic state-based routing approach where σ is defined using the current state of the network. Based on our earlier work [1], we propose two dynamic state-based routing algorithms -MPE Routing and WPE Routing, that aim to load-balance the nodes as well as the edges of D in order to achieve longer network lifetime as well as greater disjointness. We evaluate the performance of our algorithms with respect to the three goodness measures -network lifetime, nodal load-balancing and disjointness, and compare it with two benchmark algorithms as well as existing data gathering schemes. Our simulation results show that our algorithms perform consistently better with respect to our goodness measures than the benchmark algorithms and other approaches.

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The pulse protocol: sensor network routing and power saving

Cited by 10 publications

References 5 publications

Probability Distributions for Channel Utilisation

Probability Distributions for Channel Utilisation

Mesh Network Based on MQTT Broker for Smart Home and IIoT Factory

Dynamic state-based routing for load balancing and efficient data gathering in wireless sensor networks

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