Analysis, comparison, and optimization of routing protocols for energy harvesting wireless sensor networks

作者：Hasenfratz David^*; Meier Andreas; Moser Clemens; Chen Jian Jia; Thiele Lothar

来源：2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2010, 2010 IEEE International Workshop on Ubiquitous and Mobile Computing, UMC 2010, 2010-06-07 to 2010-06-09.

DOI：10.1109/SUTC.2010.35

• Data delivery
• Energy consumption
• Energy harvesting systems
• Energy-aware routing protocol
• Environmental energy
• Global knowledge
• Harvested energy
• Lossless
• Low Power
• MAC protocol
• Network configuration
• Original algorithms
• Protocol overhead
• Realistic wireless channel
• Spatial variations
• Wireless channel
• Wireless sensor

Energy harvesting has been steadily gaining interest in the wireless sensor network community. Instead of minimizing the energy consumption and maximizing a network's operational time, the main challenge in energy harvesting sensor networks is to maximize the utility of the application subject to the harvested energy. One major challenge is to maximize the data delivery rates by exploiting the spatial variations of environmental energy. While there exists a multiplicity of energy-aware routing protocols for sensor networks without energy harvesting capabilities, only a small number of routing protocols have been published which explicitly account for energy harvesting. In this paper, we analyze and compare three state-of-the-art routing algorithms. While the original algorithms assume an idealized medium access control (MAC), a lossless wireless channel and global knowledge, we show that these assumptions lead to delusive results. We detail these finding by showing the influenc of a low-power MAC protocol, a realistic wireless channel and the protocol overhead. Moreover, we show how to optimize the parameters of the MAC protocol for a given network configuration By conducting various evaluations, we identify that our modifie version of the R-MPRT algorithm outperforms the evaluated algorithms in scenarios where little energy is harvested from the environment.

• 出版日期2010
• 单位Swiss Federal Institute of Technology