Abstract
Wireless Sensor Networks (WSNs) have been
widely recognized as a promising solution for enhancing various
aspects of electric power grid and realizing the vision of smart
grid. However, energy crisis and challenging wireless environment
in smart grid create a number of challenges for WSNs, as
a result of which energy efficiency become critically important.
On the other hand, cognitive radio (CR) technology is expected
to play a vital role in smart grid networks. Cognitive Sensor
Networks (CSNs) can effectively address some unique challenges
of WSNs in smart grid. In this paper, we aim to design an energy
efficient Medium Access Control (MAC) protocol for CSNs.
In this regard, we propose ECR-MAC, which is an energyefficient
receiver-based MAC protocol for CSNs. ECR-MAC
uses a energy-efficiency based auction mechanism and preamble
sampling techniques for providing high energy efficiency and
reliability. In addition, ECR-MAC explicitly accounts for the
peculiarities of a CR environment. Analytical and simulation
results demonstrate the effectiveness of ECR-MAC as a viable
solution for CSNs.
widely recognized as a promising solution for enhancing various
aspects of electric power grid and realizing the vision of smart
grid. However, energy crisis and challenging wireless environment
in smart grid create a number of challenges for WSNs, as
a result of which energy efficiency become critically important.
On the other hand, cognitive radio (CR) technology is expected
to play a vital role in smart grid networks. Cognitive Sensor
Networks (CSNs) can effectively address some unique challenges
of WSNs in smart grid. In this paper, we aim to design an energy
efficient Medium Access Control (MAC) protocol for CSNs.
In this regard, we propose ECR-MAC, which is an energyefficient
receiver-based MAC protocol for CSNs. ECR-MAC
uses a energy-efficiency based auction mechanism and preamble
sampling techniques for providing high energy efficiency and
reliability. In addition, ECR-MAC explicitly accounts for the
peculiarities of a CR environment. Analytical and simulation
results demonstrate the effectiveness of ECR-MAC as a viable
solution for CSNs.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Communications, 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 331-336 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Accepted/In press - May 2016 |
| Event | 2016 IEEE International Conference on Communications Workshops, ICC 2016 - Kuala Lumpur, Malaysia Duration: 23 May 2016 → 28 May 2016 |
Conference
| Conference | 2016 IEEE International Conference on Communications Workshops, ICC 2016 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 23/05/2016 → 28/05/2016 |
Access to Document
- ECR-MAC: An Energy-efficient_YANG_Accepted May2016_GREEN AAM
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