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A distributed coordination framework for wireless sensor and actor networks
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Source International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing table of contents
Urbana-Champaign, IL, USA
SESSION: Clustering 2 table of contents
Pages: 99 - 110  
Year of Publication: 2005
ISBN:1-59593-004-3
Authors
Tommaso Melodia  Georgia Institute of Technology, Atlanta, GA
Dario Pompili  Georgia Institute of Technology, Atlanta, GA
Vehbi C. Gungor  Georgia Institute of Technology, Atlanta, GA
Ian F. Akyildiz  Georgia Institute of Technology, Atlanta, GA
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
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Downloads (6 Weeks): 23,   Downloads (12 Months): 239,   Citation Count: 21
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ABSTRACT

Wireless Sensor and Actor Networks (WSANs) are composed of a large number of heterogeneous nodes called sensors and actors. The collaborative operation of sensors enables the distributed sensing of a physical phenomenon, while the role of actors is to collect and process sensor data and perform appropriate actions.In this paper, a coordination framework for WSANs is addressed. A new sensor-actor coordination model is proposed, based on an event-driven clustering paradigm in which cluster formation is triggered by an event so that clusters are created on-the-fly to optimally react to the event itself and provide the required reliability with minimum energy expenditure. The optimal solution is determined by mathematical programming and a distributed solution is also proposed. In addition, a new model for actor-actor coordination is introduced for a class of coordination problems in which the area to be acted upon is optimally split among different actors. An auction-based distributed solution of the problem is also presented.Performance evaluation shows how global network objectives, such as compliance with real-time constraints and minimum energy consumption, can be reached in the proposed framework with simple interactions between sensors and actors that are suitable for large-scale networks of energy-constrained devices.


REFERENCES

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1
I. F. Akyildiz and I. H. Kasimoglu, "Wireless sensor and actor networks: Research challenges," Ad Hoc Networks (Elsevier), vol. 2, no. 4, pp. 351--367, October 2004.
 
2
 
3
 
4
E. Felemban, C.-G. Lee, E. Ekici, R. Boder, and S. Vural, "Probabilistic QoS Guarantee in Reliability and Timeliness Domains in Wireless Sensor Networks," in Proceedings of IEEE INFOCOM 2005, Miami, FL, USA, Mar. 2005.
 
5
J. A. Stankovic, T. F. Abdelzaher, C. Lu, L. Sha, and J. Hou, "Real-time communication and coordination in embedded sensor networks," Proceedings of the IEEE, vol. 91, no. 7, pp. 1002--1022, 2003.
 
6
 
7
Y. Yu, B. Krishnamachari, and V. K. Prasanna, "Energy-latency tradeoffs for data gathering in wireless sensor networks," in Proceedings of IEEE INFOCOM 2004, Hong Kong S.A.R., P.R. China, 2004.
8
 
9
R. Jain, A. Puri, and R. Sengupta, "Geographical routing using partial information for wireless ad hoc networks," IEEE Personal Communications, pp. 48--57, February 2001.
 
10
11
 
12
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660--670, Oct. 2002.
 
13
O. Younis and S. Fahmy, "Distributed clustering in ad-hoc sensor networks: A hybrid, energy-efficient approach," in Proceedings of IEEE INFOCOM 2004, Hong Kong S.A.R., P.R. China, March 2004.
 
14
15
 
16
 
17
 
18
19
 
20
M. R. Garey and D. S. Johnson, Computer and Intractability. New York, NY: W. H. Freeman and Co., 1979.
 
21
T. Melodia, D. Pompili, and I. F. Akyildiz, "On the Interdependence of Distributed Topology Control and Geographical Routing in Ad Hoc and Sensor Networks," IEEE Journal of Selected Areas in Communications, vol. 23, no. 3, pp. 520--532, March 2005.
 
22
B. Sundararaman, U. Buy, and A. Kshemkalyani, "Clock synchronization for wireless sensor networks: a survey," Ad Hoc Networks (Elsevier), vol. 3, no. 3, pp. 281--323, May 2005.
 
23
 
24
G. Finn, "Routing and addressing problems in large metropolitan-scale internetworks," ISI res. rep ISU/RR- 87-180, Tech. Rep., March 1987.
 
25
R. P. McAfee and J. McMillan, "Auctions and bidding," Journal of Economic Literature, vol. 25, no. 2, pp. 699--738, June 1987.
 
26
B. P. Gerkey and M. J. Mataric, "Sold!: Auction methods for multirobot coordination," IEEE Transactions on Robotics and Automation, vol. 18, no. 5, pp. 758--768, October 2002.
 
27
P. Maillé and B. Tuffin, "Multi-bid auctions for bandwidth allocation in communication networks," in Proceedings of IEEE INFOCOM 2004, Hong Kong S.A.R., P.R. China, March 2004.
 
28
R. Fourer, D. M. Gay, and B. W. Kernighan, AMPL: A Modeling Language for Mathematical Programming. Duxbury Press / Brooks/Cole Publishing Company, 2002.
 
29
CPLEX solver. {Online}. Available: http://www.cplex.com
 
30
The J-Sim Simulator. {Online}. Available: http://www.j-sim.org/

CITED BY  21

Collaborative Colleagues:
Tommaso Melodia: colleagues
Dario Pompili: colleagues
Vehbi C. Gungor: colleagues
Ian F. Akyildiz: colleagues