ACM Home Page
Please provide us with feedback. Feedback
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks
Full text PdfPdf (624 KB)
Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 2nd international conference on Embedded networked sensor systems table of contents
Baltimore, MD, USA
SESSION: Routing and MAC table of contents
Pages: 108 - 121  
Year of Publication: 2004
ISBN:1-58113-879-2
Authors
Karim Seada  University of Southern California
Marco Zuniga  University of Southern California
Ahmed Helmy  University of Southern California
Bhaskar Krishnamachari  University of Southern California
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 15,   Downloads (12 Months): 195,   Citation Count: 38
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1031495.1031509
What is a DOI?

ABSTRACT

Recent experimental studies have shown that wireless links in real sensor networks can be extremely unreliable, deviating to a large extent from the idealized perfect-reception-within-range models used in common network simulation tools. Previously proposed geographic routing protocols commonly employ a maximum-distance greedy forwarding technique that works well in ideal conditions. However, such a forwarding technique performs poorly in realistic conditions as it tends to forward packets on lossy links. We identify and illustrate this weak-link problem and the related distance-hop trade-off, whereby energy efficient geographic forwarding must strike a balance between shorter, high-quality links, and longer lossy links. The study is done for scenarios with and without automatic repeat request (ARQ).

Based on an analytical link loss model, we study the distance-hop trade-off via mathematical analysis and extensive simulations of a wide array of blacklisting/link-selection strategies; we also validate some strategies using a set of real experiments on motes. Our analysis, simulations and experiments all show that the product of the packet reception rate (PRR) and the distance traversed towards destination is the optimal forwarding metric for the ARQ case, and is a good metric even without ARQ. Nodes using this metric often take advantage of neighbors in the transitional region (high-variance links). Our results also show that reception-based forwarding strategies are more efficient than purely distance-based strategies; relative blacklisting schemes reduce disconnections and achieve higher delivery rates than absolute blacklisting schemes; and that ARQ schemes become more important in larger networks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
G. G. Finn. "Routing and Addressing Problems in Large Metropolitan-Scale Internetworks". Tech. Rep. ISI/RR-87-180, ISI, Mar. 1987.
3
 
4
E. Kranakis, H. Singh and J. Urrutia. "Compass Routing on Geometric Networks". In Proc. 11th Canadian Conference on Computational Geometry, August 1999.
5
 
6
D. Kotz, C. Newport and C. Elliott. "The mistaken axioms of wireless-network research". Technical Report TR2003-467, Dept. of Computer Science, Dartmouth College, July 2003.
 
7
D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin and S. Wicker. "Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks". UCLA CS Technical Report UCLA/CSD-TR 02-0013, 2002.
8
9
10
11
 
12
M. Mauve, J. Widmer and H. Hartenstein. "A Survey on Position-based Routing in Mobile Ad Hoc Networks". IEEE Network Magazine, Vol. 15, No. 6, pp. 30--39, November 2001.
 
13
K. Seada and A. Helmy. "Geographic Protocols in Sensor Networks". USC Technical Report, July 2004.
 
14
A. Cerpa, N. Busek and D. Estrin. "SCALE: A tool for Simple Connectivity Assessment in Lossy Environments". CENS Tech. Rep., September 2003.
 
15
A. Cerpa, J. L. Wong, L. Kuang, M. Potkonjak and D. Estrin. "Statistical Model of Lossy Links in Wireless Sensor Networks". CENS Tech. Rep., April 2004.
 
16
M. Zuniga and B. Krishnamachari, "Analyzing the Transitional Region in Low Power Wireless Links", IEEE Secon 2004.
 
17
F. Silva, J. Heidemann and R. Govindan, Network Routing API 9.1, ISI Laboratory for Embedded Networked Sensor Experimentation, June 12th, 2003. Available online at http://www.isi.edu/ilense/pubs/
 
18

CITED BY  38

Collaborative Colleagues:
Karim Seada: colleagues
Marco Zuniga: colleagues
Ahmed Helmy: colleagues
Bhaskar Krishnamachari: colleagues