ACM Home Page
Please provide us with feedback. Feedback
On throughput in linear wireless networks
Full text PdfPdf (467 KB)
Source
International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing table of contents
Hong Kong, Hong Kong, China
SESSION: Scaling laws and fundamental limits II table of contents
Pages 199-208  
Year of Publication: 2008
ISBN:978-1-60558-073-9
Authors
Petar MomČilović  University of Michigan, Ann Arbor, MI, USA
Mark S. Squillante  IBM Research, Yorktown Heights, NY, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 154,   Citation Count: 1
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/10.1145/1374618.1374646
What is a DOI?

ABSTRACT

This paper investigates fundamental properties of throughput and energy cost in large wireless linear networks with very limited local resources that do not grow with the size of the network. The maximum throughput of the network is derived and the arrival process that maximizes throughput, given a fixed arrival rate, is established. An asymptotically critical loading regime is identified such that the probability of an arbitrary packet being lost is strictly within (0, 1) as the network size increases. Such a regime delivers throughput comparable to the maximum at a reasonable energy cost.

The paper also establishes the asymptotic network energy cost under this critical loading. These results are then used to consider a performance-cost tradeoff within an optimization problem for which the unique equilibrium point that maximizes the difference between performance benefits and costs is derived. Finally, from a mathematical perspective, the paper furthers our understanding of large stochastic linear networks for which, in general, no explicit solutions have been previously available.


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
D. Bailey. Counting arrangements of 1's and -1's. Math. Mag., 69(2):128--131, 1996.
 
2
 
3
R. Boorstyn, A. Kershenbaum, B. Maglaris, and V. Sahin. Throughput analysis in multihop CSMA packet radio networks. IEEE Trans. Comm., 35(3):267--274, 1987.
 
4
O. Dousse. Revising buffering in multihop CSMA/CA wireless networks. In Proc. IEEE SECON, San Diego, CA, June 2007.
 
5
P. Gupta and P. R. Kumar. The capacity of wireless networks. IEEE Trans. Inform. Theory, 46(2):388--404, 2000.
 
6
P. J. Hunt and F. P. Kelly. On critically loaded loss networks. Adv. Appl. Prob., 21(4):831--841, 1989.
 
7
 
8
I. Karatzas and S. Shreve. Brownian Motion and Stochastic Calculus. Springer-Verlag, New York, 2nd edition, 1991.
 
9
T. Liggett. Interacting Particle Systems. Springer-Verlag, New York, 1985.
 
10
T. Liggett. Stochastic Interacting Systems: Contact, Voter and Exclusion Processes. Springer-Verlag, Berlin, 1999.
 
11
 
12
A. Saleh and J. Simmons. Evolution toward the next-generation core optical network. J. Lightwave Tech., 24(9):3303--3321, 2006.
 
13
J. Silvester and L. Kleinrock. On the capacity of multihop slotted ALOHA networks with regular structure. IEEE Trans. Comm., 31(8):974--982, 1983.
 
14
W. Whitt. Stochastic-Process Limits. Springer, New York, 2002.


Collaborative Colleagues:
Petar MomČilović: colleagues
Mark S. Squillante: colleagues