Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Poster abstract: wiseMAC, an ultra low power MAC protocol for the wiseNET wireless sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
A unified data-link energy model for wireless sensor networks
A unified data-link energy model for wireless sensor networks
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Accurate prediction of power consumption in sensor networks
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Software-based on-line energy estimation for sensor nodes
Proceedings of the 4th workshop on Embedded networked sensors
Error control in wireless sensor networks: a cross layer analysis
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Wireless Communications
MAC Essentials for Wireless Sensor Networks
IEEE Communications Surveys & Tutorials
Cross-layer design of ad hoc networks for real-time video streaming
IEEE Wireless Communications
Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN
Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems
| Hi-index | 0.00 |
Energy modeling is an important issue for designing and dimensioning low power wireless sensor networks (WSN). In order to help the developers to optimize the energy spent by WSN nodes, a pragmatic and precise hybrid energy model is proposed. This model considers different scenarios that occur during the communication and evaluates their energy consumption based on software profiling as well as the hardware components power profiles. The proposed model is a combination of analytical derivations and real time measurements. Firstly, the analytical model provides a global view of various elements of the link and MAC layers and shows their impact on the energy consumption. Secondly, the real-time measurements provide an accurate estimate of the power consumption of the software as well as the hardware platform. These experiments are particularly useful to understand the MAC layer mechanisms, such as wake up or data collisions for the preamble sampling category, and the energy wasted by collisions is evaluated. The presented model is validated under a specific setup with three different test cases. The results verify that the relative error is between 1 to 8%.