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  1. ACM SIGMOBILE Mobile Computing and Communications Review (MOCO)
  2. Volume 17
  3. Volume 17, Issue 1, January 2013
  4. Ripple-2
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Volume 18
Volume 17
Volume 17, Issue 4, October 2013
Volume 17, Issue 3, July 2013
Volume 17, Issue 2, April 2013
Volume 17, Issue 1, January 2013
Enabling ad-hoc-style communication in public WLAN hot-spots
Enhancing mobile data offloading with mobility prediction and prefetching
Cognitive radio kit framework
MARINE
GRAPEVINE
Nullspace-based stopping conditions for network-coded transmissions in DTNs
Ripple-2
WiFi access point deployment for efficient mobile data offloading
Volume 16
Volume 15
Volume 14
Volume 13
Volume 12
Volume 11
Volume 10
Volume 9
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3
Volume 2
Volume 1

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Ripple-2: a non-collaborative; asynchronous; and open architecture for highly-scalable and low duty-cycle WSNs

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Ripple-2:a non-collaborative, asynchronous, and open architecture for highly-scalable and low duty-cycle WSNs

Content Provider ACM Digital Library
Author Liu, Mingyan Moghaddam, Mahta Silva, Agnelo R.
Abstract The design of Ripple-2, a wireless in-situ soil moisture sensing system is presented in this paper. The main objective of such system is to collect high fidelity and fine grained data both spatially and temporally compared to radar remote sensing, which is the more traditional way of capturing soil moisture, and to use the former to validate and calibrate the latter. To do so, the in-site sensor network must cover a sufficiently large area, on the order of at least a few square kilometers. At the same time, cost constraints (both in deployment and in maintenance) puts a limit on the total number of sensor nodes, resulting in a very sparse (on average) network. The main challenge in designing the system lies in achieving reliability and energy efficiency in such a sparse network. For instance, in our pilot deployment, a 200mx400m area is covered by 22 nodes (average inter-node distance > 50m). Traditional WSN technology typically calls for many more nodes to be deployed in such an area. Ripple-2 is introduced as a non-traditional WSN architecture where (1) the network is physically and logically segmented into isolated clusters, (2) a regular node (or end device, ED) only communicates with the cluster head (CH) of its segment, and (3) the ED-CH communication is distinct from the CH-sink (or CH-Data Server) and both links can use virtually any kind of point-to-point wireless technology. We use both simulated and empirical results to demonstrate the effectiveness of Ripple-2; it proves to be ideal for low duty-cycle data collection applications due to its exceptional small network overhead (typically smaller than 1%) and its robustness to the size of the network.
Starting Page 55
Ending Page 60
Page Count 6
File Format PDF
ISSN 15591662 19311222
DOI 10.1145/2502935.2502945
Journal ACM SIGMOBILE Mobile Computing and Communications Review (MOCO)
Volume Number 17
Issue Number 1
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-07-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Wusn Wsn Hibernation Selfish node Power-gating
Content Type Text
Resource Type Article
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