An Adaptive Energy-Management Framework for Sensor Nodes with Constrained Energy Scavenging Profiles

Joint Authors

Moghaddam, Mahta
Silva, Agnelo R.
Liu, Mingyan

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2013, Issue - (31 Dec. 2013), pp.1-33, 33 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-10-08

Country of Publication

Egypt

No. of Pages

33

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

Modern energy harvesting systems for WSNs involve power scavenging sources, rechargeable batteries, and supercapacitors.

Typical energy-management systems calculate/predict the remaining energy stored in a node, and associated actions are dispatched involving the networking protocols.

However, long-term characteristics of the mentioned hardware components are typically neglected preventing the achievement of very long maintenance-free lifetimes (e.g., >5 years) for the nodes.

In this work, a systematic analysis of this problem is provided, and an open energy-management framework is proposed which promotes (a) the nontraditional combination of primary cells, supercapacitors, and harvesting systems, (b) the concept of a distributed system inside a node, and (c) the adoption of the dual duty-cycle (DDC) operation for the WSNs.

The DDC’s core component is a cross-layer protocol implemented as an application-layer overlay which maintains the operation of the network under very high energy efficiency.

Its trade-off is the reduction of the network throughput.

Therefore, the DDC system has mechanisms that dynamically switch the WSN operational mode according to application’s needs.

Detailed guidelines are provided in order to allow the implementation of the solution on existing WSN platforms.

The energy efficiency of the low duty-cycle mode of the solution is demonstrated by simulated and empirical results.

American Psychological Association (APA)

Silva, Agnelo R.& Liu, Mingyan& Moghaddam, Mahta. 2013. An Adaptive Energy-Management Framework for Sensor Nodes with Constrained Energy Scavenging Profiles. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-33.
https://search.emarefa.net/detail/BIM-459324

Modern Language Association (MLA)

Silva, Agnelo R.…[et al.]. An Adaptive Energy-Management Framework for Sensor Nodes with Constrained Energy Scavenging Profiles. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-33.
https://search.emarefa.net/detail/BIM-459324

American Medical Association (AMA)

Silva, Agnelo R.& Liu, Mingyan& Moghaddam, Mahta. An Adaptive Energy-Management Framework for Sensor Nodes with Constrained Energy Scavenging Profiles. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-33.
https://search.emarefa.net/detail/BIM-459324

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-459324