Scoresheet-based event relevance determination for energy efficiency in wireless sensor networks

Zöller, Sebastian; Reinhardt, Andreas; Schulte, Stefan; Steinmetz, Ralf

doi:10.1109/lcn.2011.6115190

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…Data transmission accounts for both the major part of energy consumption as well as monetary costs. Thus, we proposed to use data filtering as an efficient way to reduce communication overhead [7]. In [7], we focused on a local, mote-centric view on data aggregation, whereas we extend this view to a network-wide view, incorporating correlation between events, in the work at hand.…”

Section: A Application Scenariomentioning

confidence: 99%

“…Thus, we proposed to use data filtering as an efficient way to reduce communication overhead [7]. In [7], we focused on a local, mote-centric view on data aggregation, whereas we extend this view to a network-wide view, incorporating correlation between events, in the work at hand. Jedermann et al have already conducted research concerning WSN deployments in such application scenarios, specifically in food transports [10].…”

Section: A Application Scenariomentioning

confidence: 99%

“…[7]). Therefore, on the one hand, sensor data is assigned an information value, which reflects the value of benefit for the receiver of this data, e.g., the information of a temperature event transmitted to a decision maker in a logistics process.…”

Section: B Transmission Relevance Of Sensor Datamentioning

confidence: 99%

“…An exemplary local operationalization of this concept for WSN application in logistics transport processes is also provided in [7]. In the reference, sensor data has been locally filtered by differentiating transmission relevant events and nontransmission relevant events on single motes using scoresheets.…”

Section: B Transmission Relevance Of Sensor Datamentioning

confidence: 99%

“…[5], [6]). In [7], we have already proposed a data filtering mechanism based on transmission relevance as an efficient approach to reduce communication overhead in logistics WSNs. There, we focused on a strict mote-centric view.…”

Section: Introductionmentioning

confidence: 99%

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Distributed data filtering in logistics wireless sensor networks based on transmission relevance

Zöller

Reinhardt

Steinmetz

2012

37th Annual IEEE Conference on Local Computer Networks

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Energy-efficient operation is mandatory in wireless sensor networks due to the limited energy budget of sensor nodes. Considering the potential application of wireless sensor networks in logistics, cost efficiency is another major requirement due to high cost pressure. To save on data transmissions within such sensor deployments, which account for the major part of energy consumption and monetary costs, we develop a method for data filtering based on an in-network determination of transmission relevance of sensor data. Our approach explicitly incorporates interdependencies between wireless sensor nodes and their measurements and data transmissions. It contributes to efficiency in wireless sensor networks by filtering out irrelevant data and enables a subsequent reduction of unnecessary transmissions from a network-wide view, while being able to still offer real-time data provision with sufficient data fidelity to stakeholders. The benefits of our approach are indicated by preliminary evaluation results.

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Section: A Application Scenariomentioning

confidence: 99%