Article

Communicating via fireflies: geographic routing on duty-cycled sensors

Authors:

Phillip B. GibbonsAuthors Info & Claims

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

Pages 440 - 449

https://doi.org/10.1145/1236360.1236416

Published: 25 April 2007 Publication History

Abstract

Geographic routing is a useful and scalable point-to-point communication primitive for wireless sensor networks. However, previous work on geographic routing makes the unrealistic assumption that all the nodes in the network are awake during routing. This overlooks the common deployment scenario where sensor nodes are duty-cycled to save energy. In this paper we investigate several important aspects of geographic routing over duty-cycled nodes. First, we extend existing geographic routing algorithms to handle the highly dynamic networks resulting from duty-cycling. Second, we provide the first formal analysis of the performance of geographic routing on duty-cycled nodes. Third, we use this analysis to develop an efficient decentralized sleep scheduling algorithm for reducing the number of awake nodes while maintaining both network coverage and a (tunable) target routing latency. Finally, we evaluate via simulation the performance of our approach versus running existing geographic routing algorithms on sensors duty-cycled according to previous sleep scheduling algorithms. Our results show, perhaps surprisingly, that a network of duty-cycled nodes can have slightly better routing performance than a static network that uses comparable energy. Our results further show that, compared to previous algorithms, our sleep scheduling algorithm significantly improves routing latency and network lifetime.

References

[1]

ABRAMS, Z., GOEL, A., AND PLOTKIN, S. Set k-cover algorithms for energy efficient monitoring in wireless sensor networks. In ACM/IEEE IPSN (2004).

Digital Library

[2]

BISWAS, S., AND MORRIS, R. Opportunistic routing in multi-hop wireless networks. In ACM SIGCOMM (2005).

Digital Library

[3]

CAO, Q., ABDELZAHER, T., HE, T., AND STANKOVIC, J. Towards optimal sleep scheduling in sensor networks for rare-event detection. In ACM/IEEE IPSN (2004).

Digital Library

[4]

CHEN, B., JAMIESON, K., BALAKRISHNAN, H., AND MORRIS, R. Span: an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In ACM MobiCom (2001).

Digital Library

[5]

CHOUDHURY, R. R., AND VAIDYA, N. H. MAC-layer anycasting in ad hoc networks. ACM SIGCOMM CCR 34, 75--80 (2004).

Digital Library

[6]

DEMIRBAS, M., AND FERHATOSMANOGLU, H. Peer-to-peer spatial queries in sensor networks. In IEEE P2P (2003).

Digital Library

[7]

DUTTA, P., GRIMMER, M., ARORA, A., BIBYK, S., AND CULLER, D. Design of a wireless sensor network platform for detecting rare, random, and ephemeral events. In ACM/IEEE IPSN (2005).

Digital Library

[8]

FAN HSIN, C., AND LIU, M. Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms. In ACM/IEEE IPSN (2004).

Digital Library

[9]

GAREY, M. R., AND JOHNSON, D. S. Computers and Intractability - A Guide to the Theory of NP-Completeness. W. H. Freeman and Company, New York, 1979.

Digital Library

[10]

HEKMAT, R., AND MIEGHEM, P. V. Degree distribution and hopcount in wireless ad-hoc networks. In IEEE ICON (2003).

[11]

KARP, B., AND KUNG, H. T. GPSR: Greedy perimeter stateless routing for wireless networks. In ACM MobiCom (2000).

Digital Library

[12]

KIM, Y.-J., GOVINDAN, R., KARP, B., AND SHENKER, S. Geographic routing made practical. In Usenix NSDI (2005).

Digital Library

[13]

KIM, Y.-J., GOVINDAN, R., KARP, B., AND SHENKER, S. Lazy cross-link removal for geographic routing. In ACM SenSys (2006).

Digital Library

[14]

LEONG, B., LISKOV, B., AND MORRIS, R. Geographic routing without planarization. In Usenix NSDI (2006).

Digital Library

[15]

LI, X., KIM, Y. J., GOVINDAN, R., AND HONG, W. Multi-dimensional range queries in sensor networks. In ACM SenSys (2003).

Digital Library

[16]

LI, X.-Y., WAN, P.-J., WANG, Y., AND YI, C.-W. Fault tolerant deployment and topology control in wireless networks. In ACM MobiHoc (2003).

Digital Library

[17]

MITZENMACHER, M., AND UPFAL, E. Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, 2005.

Digital Library

[18]

NATH, S., AND GIBBONS, P. B. Communicating via fireflies: Geographic routing on duty-cycled sensors. Tech. Rep. MSR-TR-2007-21, Microsoft Research, 2007.

Digital Library

[19]

PENROSE, M. D. On k-connectivity for a geometric random graph. Wiley Random Structures and Algorithms 15, 2 (1999), 145--164.

Digital Library

[20]

SHENKER, S., RATNASAMY, S., KARP, B., GOVINDAN, R., AND ESTRIN, D. Data-centric storage in sensornets. In ACM HotNets (2002).

[21]

STOJMENOVIC, I., SEDDIGH, M., AND ZUNIC, J. Dominating sets and neighbor elimination-based broadcasting algorithms in wireless networks. IEEE Trans. on Parallel and Distributed Systems 13, 1 (2002), 14--25.

Digital Library

[22]

SUN, F., AND SHAYMAN, M. On the average pairwise connectivity of wireless multihop networks. In IEEE Globecom (2005).

[23]

TAKAGI, H., AND KLEINROCK, L. Optimal transmission ranges for randomly distributed packet radio networks. IEEE Trans. on Communication 32, 3 (1984), 246--257.

[24]

TIAN, D., AND GEORGANAS, N. D. A coverage-preserving node scheduling scheme for large wireless sensor networks. In ACM WSNA (2002).

Digital Library

[25]

TOUSSAINT, G. T. The relative neighbourhood graph of a finite planar set. Pattern Recognition 12 (1980), 261--268.

[26]

WANG, X., XING, G., ZHANG, Y., LU, C., PLESS, R., AND GILL, C. Integrated coverage and connectivity configuration in wireless sensor networks. In ACM SenSys (2003).

Digital Library

[27]

XU, Y., HEIDEMANN, J., AND ESTRIN, D. Geography-informed energy conservation for ad hoc routing. In ACM MobiCom (2001).

Digital Library

[28]

ZHAO, J., AND GOVINDAN, R. Understanding packet delivery performance in dense wireless sensor networks. In ACM SenSys (2003).

Digital Library

[29]

ZORZI, M., AND RAO, R. R. Geographic random forwarding (GeRaF) for ad hoc and sensor networks: Energy and latency performance. IEEE Trans. on Mobile Computing 2, 4 (2003), 349--365.

Digital Library

Cited By

Lu FLiu GSong MLu WPeng H(2021)On Distributed Node Sleep Scheduling Optimization Method Based on Time Switching of SWIPT2021 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC51323.2021.9498750(376-381)Online publication date: 28-Jun-2021
https://doi.org/10.1109/IWCMC51323.2021.9498750
Garg RGarg N(2020)Energy Management in a Multi-Source Energy Harvesting IoT SystemJournal of Information Technology Research10.4018/JITR.202004010313:2(42-59)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.4018/JITR.2020040103
Mhatre KKhot U(2020)Energy Efficient Opportunistic Routing with Sleep Scheduling in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-020-07100-zOnline publication date: 27-Jan-2020
https://doi.org/10.1007/s11277-020-07100-z
Show More Cited By

Index Terms

Communicating via fireflies: geographic routing on duty-cycled sensors

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cover image ACM Conferences

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

April 2007

592 pages

ISBN:9781595936387

DOI:10.1145/1236360

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign
,
Program Chairs:
Leo Guibas
Stanford University
,
Matt Welsh
Harvard University

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 April 2007

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IPSN07

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IPSN07: The 6th International Conference on Information Processing in Sensor Networks

April 25 - 27, 2007

Massachusetts, Cambridge, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Lu FLiu GSong MLu WPeng H(2021)On Distributed Node Sleep Scheduling Optimization Method Based on Time Switching of SWIPT2021 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC51323.2021.9498750(376-381)Online publication date: 28-Jun-2021
https://doi.org/10.1109/IWCMC51323.2021.9498750
Garg RGarg N(2020)Energy Management in a Multi-Source Energy Harvesting IoT SystemJournal of Information Technology Research10.4018/JITR.202004010313:2(42-59)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.4018/JITR.2020040103
Mhatre KKhot U(2020)Energy Efficient Opportunistic Routing with Sleep Scheduling in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-020-07100-zOnline publication date: 27-Jan-2020
https://doi.org/10.1007/s11277-020-07100-z
(2017)Dynamic transmission power switch for fast data collection in duty-cycled sensor networksInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2017.08251724:3(173-182)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJAHUC.2017.082517
Shu LMukherjee MWang DFang WChen YZhang PDutta PXing G(2017)Prolonging global connectivity in group-based industrial wireless sensor networksProceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks10.1145/3055031.3055071(325-326)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3055031.3055071
Mukherjee MShu LFang WZhou ZZhang PDutta PXing G(2017)Sleep scheduling in wireless powered industrial wireless sensor networksProceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks10.1145/3055031.3055059(301-302)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3055031.3055059
Mukherjee MShu LHu LHancke GZhu C(2017)Sleep Scheduling in Industrial Wireless Sensor Networks for Toxic Gas MonitoringIEEE Wireless Communications10.1109/MWC.2017.1600072WC24:4(106-112)Online publication date: Aug-2017
https://doi.org/10.1109/MWC.2017.1600072WC
Shu LWang LNiu JZhu CMukherjee M(2017)Releasing Network Isolation Problem in Group-Based Industrial Wireless Sensor NetworksIEEE Systems Journal10.1109/JSYST.2015.247527611:3(1340-1350)Online publication date: Sep-2017
https://doi.org/10.1109/JSYST.2015.2475276
Fang WZhang ZMukherjee MShu LZhou Z(2017)Energy-utilization aware sleep scheduling in green WSNs for sustainable throughputIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON.2017.8216814(4724-4727)Online publication date: Oct-2017
https://doi.org/10.1109/IECON.2017.8216814
Wang DMukherjee MShu LChen YHancke G(2017)Sleep scheduling for critical nodes in group-based industrial wireless sensor networks2017 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCW.2017.7962739(694-698)Online publication date: May-2017
https://doi.org/10.1109/ICCW.2017.7962739
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