DocumentCode :
2811962
Title :
Probabilistic data collection protocols for energy harvesting sensor networks
Author :
Yoshida, Masaya ; Kitani, Tomoya ; Bandai, Masaki ; Watanabe, Takashi ; Chou, Pai ; Seah, Winston Khoon Guan
Author_Institution :
Shizuoka Univ., Shizuoka, Japan
fYear :
2011
fDate :
4-7 Oct. 2011
Firstpage :
366
Lastpage :
373
Abstract :
Energy harvesting has been studied as a candidate for powering next generation wireless sensor networks. The technologies that can harvest electric power from ambient energy sources include solar, vibration, heat and wind. However, sensor nodes powered by energy harvesting devices cannot always communicate with other nodes because the energy harvesting devices cannot provide a stable supply power. A node cannot know whether its neighboring nodes have enough energy to receive a data packet that it has transmitted. During the process of relaying the packet, each additional hop increases the overall probability of losing the packet. In this paper, we propose two data collection protocols for the energy harvesting wireless sensor networks called Probabilistic ReTransmission protocol (PRT) and PRT with Collision Consideration (PRT-CC). The idea is to derive the number of times to retransmit a packet based on the reception probability and the active intervals computed by the receivers themselves. In PRT-CC, each node computes the reception probability with packet collision consideration. The simulation results show that the proposed protocols achieve higher delivery ratio than the previous works (GR-DD and GR DD-RT).
Keywords :
energy harvesting; next generation networks; protocols; wireless sensor networks; collision consideration; energy harvesting sensor networks; next generation wireless sensor networks; probabilistic data collection protocols; probabilistic retransmission protocol; Electronic mail; Energy harvesting; Equations; Mathematical model; Protocols; Reliability; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location :
Bonn
ISSN :
0742-1303
Print_ISBN :
978-1-61284-926-3
Type :
conf
DOI :
10.1109/LCN.2011.6115318
Filename :
6115318
Link To Document :
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