Modelling, quantification, optimisation - energy efficiency in distributed, embedded systems

Vodel, Matthias; Bergelt, Rene; Hardt, Wolf‐Dietrich

doi:10.1109/sas.2014.6798915

Cited by 2 publications

(3 citation statements)

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“…3 https://omnetpp.org more often. Consequently, a major goal in WSN routing are a low transmission count and extended node as well as radio module standby times [22], [23]. Figure 3 shows the traffic volume measured in number of required transmissions to respond to a number of consecutively detected events for the different aforementioned approaches.…”

Section: A Network Trafficmentioning

confidence: 99%

“…This means that in order to compare the energy efficiency of different approaches the gain of an operation has to be evaluated. To solve this, a model for quantifying energy efficiency in WSN has been proposed in [23] which allows to compare different approaches with regard to the same application or individual tasks. Basically in this model, a local (for an individual node) and a global energy efficiency are defined.…”

Section: B Energy Efficiencymentioning

confidence: 99%

“…As data transmission processes play a vital role in WSN we have to take them into consideration, differentiating processes necessary for the task (and thus increasing the gain) and those unnecessary for the task. By assuming, that there always exists a communication path between two given nodes in the network we can adapt the original formula from [23] to…”

Section: B Energy Efficiencymentioning

confidence: 99%

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An Event-based Local Action Paradigm to Improve Energy Efficiency in Queriable Wireless Sensor Actuator Networks

Bergelt

Hardt

2020

J. commun. softw. syst. (Online)

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Wireless sensor networks (WSN) are deployed in a multitude of applications both in industrial and academic fields. In recent years, due to the emerge of Internet of Things (IoT) technologies and Vehicle2X communication scenarios, novel challenges for wireless sensor network platforms - regarding hardware and software - arose. Thus, challenges known from big data processing have reached the WSN scope and consequently approaches and methods have been devised to handle these. One such approach is queriable wireless sensor networks which enable their users the specification of sensing tasks in a declarative way without the need to re-program nodes in case the application requirements change. As many current WSN applications feature active parts with which nodes can directly influence their environment, the term wireless sensor actuator networks (WSAN) has been coined, setting such networks apart from solely passively measuring networks.In this article, we will present a short introduction to big data processing in wireless sensor networks which motivates the usage of queriable networks. We will show that in order to enable a WSAN to carry out actions energy-efficiently and in a timely manner, an event-based action model is favorable. Additionally, we will demonstrate how such an event system can be used to improve sub query performance in WSNs. We conclude with an evaluation regarding the benefit of combining this approach with wake-up receiver technologies based on a qualitative energy efficiency definition for WSN.

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Section: A Network Trafficmentioning

confidence: 99%

Section: B Energy Efficiencymentioning

confidence: 99%

Section: B Energy Efficiencymentioning

confidence: 99%

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