DocumentCode
740338
Title
GreenNet: An Energy-Harvesting IP-Enabled Wireless Sensor Network
Author
Varga, Liviu-Octavian ; Romaniello, Gabriele ; Vucinic, Malisa ; Favre, Michel ; Banciu, Andrei ; Guizzetti, Roberto ; Planat, Christophe ; Urard, Pascal ; Heusse, Martin ; Rousseau, Franck ; Alphand, Olivier ; Duble, Etienne ; Duda, Andrzej
Author_Institution
, STMicroelectronics, Crolles, France
Volume
2
Issue
5
fYear
2015
Firstpage
412
Lastpage
426
Abstract
This paper presents Green Net , an energy efficient and fully operational protocol stack for IP-enabled wireless sensor networks based on the IEEE 802.15.4 beacon-enabled mode. The stack runs on a hardware platform with photovoltaic cell energy harvesting developed by STMicroelectronics (STM) that can operate autonomously for long periods of time. Green Net integrates several standard mechanisms and enhances existing protocols, which results in an operational platform with the performance beyond the current state of the art. In particular, it includes the IEEE 802.15.4 beacon-enabled medium access control (MAC) integrated with lightweight IP routing for achieving very low duty cycles. It offers an advanced discovery scheme that accelerates the process of joining the network and proposes an adaptation scheme for adjusting the duty cycle of harvested nodes to the available energy for increased performance. Finally, it supports security at two levels: a basic standard secure operation at the link layer and advanced scalable data payload security. This paper describes all techniques and mechanisms for saving energy and operating at very low duty cycles. It also provides an evaluation of the performance and energy consumption of Green Net .
Keywords
Batteries; Energy harvesting; Green products; IEEE 802.15 Standards; Protocols; Routing; Topology; 6LoWPAN; Autoconfiguration; IPv6; Wireless Sensor Networks; auto-configuration; beacon-enabled 802.15.4; beacon-enabled IEEE 802.15.4; energy harvesting; lightweight IP routing; wireless sensor networks;
fLanguage
English
Journal_Title
Internet of Things Journal, IEEE
Publisher
ieee
ISSN
2327-4662
Type
jour
DOI
10.1109/JIOT.2015.2425431
Filename
7094226
Link To Document