Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/gossip-based-density-estimation-in-dynamic-heterogeneous-wireless-j8nqiAe9va
References (30)
-
Avinash Kumar, Adi Reddy, D. Janakiram (2005)
Distributed collaboration for event detection in wireless sensor networks -
Dionysios Kostoulas, D. Psaltoulis, Indranil Gupta, K. Birman, A. Demers (2005)
Decentralized Schemes for Size Estimation in Large and Dynamic GroupsFourth IEEE International Symposium on Network Computing and Applications
-
Kyunghan Lee, Seongik Hong, S. Kim, I. Rhee, S. Chong (2009)
SLAW: A New Mobility Model for Human WalksIEEE INFOCOM 2009
-
C. Bettstetter (2001)
Smooth is better than sharp: a random mobility model for simulation of wireless networks -
Arvind Kandhalu, Karthik Lakshmanan, R. Rajkumar (2010)
U-connect: a low-latency energy-efficient asynchronous neighbor discovery protocol -
Huanzhao Wang, Fanzhi Meng, Hanmei Luo, Ting Zhou (2009)
A Location-Independent Node Scheduling for Heterogeneous Wireless Sensor Networks2009 Third International Conference on Sensor Technologies and Applications
-
Huanzhao Wang, Bei Dong, Peijun Chen, Qian Chen, Junjun Kong (2007)
LATEX DSL: A Coverage Control Protocol for heterogeneous Wireless Sensor Networks2007 Second International Conference on Systems and Networks Communications (ICSNC 2007)
-
(2001)
Int’l workshop on modeling analysis and simulation of wireless and mobile systems -
D. Kempe, A. Dobra, J. Gehrke (2003)
Gossip-based computation of aggregate information44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings.
-
Andrei Pruteanu, V. Iyer, S. Dulman (2011)
FailDetect: Gossip-Based Failure Estimator for Large-Scale Dynamic Networks2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)
-
M. Nickray, A. Afzali-Kusha (2009)
RATC: A robust topology control algorithm for heterogeneous wireless sensor networks2009 4th International Design and Test Workshop (IDT)
-
M. Ceriotti, L. Mottola, G. Picco, A. Murphy, S. Guna, M. Corrà, M. Pozzi, D. Zonta, P. Zanon (2009)
Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment2009 International Conference on Information Processing in Sensor Networks
-
Andrei Pruteanu, S. Dulman, K. Langendoen (2010)
ASH: tackling node mobility in large-scale networksComputing, 94
-
H. Malazi, K. Zamanifar (2010)
Handling Uncertainty in Composite Event Detection -
Xiaojiang Du, Xue Liu, Yang Xiao (2009)
Density-Varying High-End Sensor Placement in Heterogeneous Wireless Sensor Networks2009 IEEE International Conference on Communications
-
K. Iwanicki, M. Steen (2010)
Gossip-Based Self-Management of a Recursive Area Hierarchy for Large Wireless SensorNetsIEEE Transactions on Parallel and Distributed Systems, 21
-
R. Kosar, E. Onur, Cem Ersoy (2009)
Redeployment Based Sensing Hole Mitigation in Wireless Sensor Networks2009 IEEE Wireless Communications and Networking Conference
-
L. Massoulié, E. Merrer, Anne-Marie Kermarrec, A. Ganesh (2006)
Peer counting and sampling in overlay networks: random walk methods -
W. Heinzelman, A. Murphy, H. Carvalho, M. Perillo (2004)
Middleware to support sensor network applicationsIEEE Network, 18
-
A. Frieze, G. Grimmett (1985)
The shortest-path problem for graphs with random arc-lengthsDiscret. Appl. Math., 10
-
K. Shih, Sheng-Shih Wang, Hung-Chang Chen, Pao-Hwa Yang (2006)
CollECT: Collaborative Event deteCtion and Tracking in Wireless Heterogeneous Sensor Networks11th IEEE Symposium on Computers and Communications (ISCC'06)
-
Nikos Ntarmos, P. Triantafillou, G. Weikum (2009)
Distributed hash sketches: Scalable, efficient, and accurate cardinality estimation for distributed multisetsACM Trans. Comput. Syst., 27
-
Bibudh Lahiri, S. Tirthapura (2010)
Identifying frequent items in a network using gossipJ. Parallel Distributed Comput., 70
-
H. Malazi, K. Zamanifar, A. Khalili, S. Dulman (2012)
DEC: Diversity-Based Energy Aware Clustering for Heterogeneous 53 Sensor NetworksAd Hoc Sens. Wirel. Networks, 17
-
Andrei Pruteanu, V. Iyer, S. Dulman (2011)
ChurnDetect: A Gossip-Based Churn Estimator for Large-Scale Dynamic Networks -
P. Dutta, D. Culler (2008)
Practical asynchronous neighbor discovery and rendezvous for mobile sensing applications -
T. Sharma, R. Joshi, M. Misra (2010)
Data filtering and dynamic sensing for continuous monitoring in wireless sensor networksInt. J. Auton. Adapt. Commun. Syst., 3
-
M. Akdere, U. Çetintemel, Nesime Tatbul (2008)
Plan-based complex event detection across distributed sourcesProc. VLDB Endow., 1
-
A. Sarwate, A. Dimakis (2008)
The Impact of Mobility on Gossip AlgorithmsIEEE Transactions on Information Theory, 58
-
V. Iyer, Andrei Pruteanu, S. Dulman (2011)
NetDetect: Neighborhood Discovery in Wireless Networks Using Adaptive Beacons2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1754-8632
- eISSN
- 1754-8640
- DOI
- 10.1504/IJAACS.2014.058019
- Publisher site
- See Article on Publisher Site
Abstract
The density estimation of diverse sensor types in a heterogeneous sensor network is an important service that can be used in clustering schemes, node redeployment and sleep scheduling strategies. Similar to any wireless sensor network service, energy efficiency is one of the main requirements. The service has to provide an updated estimation at each node. Network dynamics, especially node mobility, introduce new challenges. Moreover, churn makes the problem even more complicated. In this paper we introduce a new approach called Gossip based Density Estimation (GDE) for heterogeneous dynamic networks. The devised method is able to cope with node mobility and churn, as well as redeployment of new nodes. It is fully distributed and adaptive to network dynamics. We analyse the effect of mobility as well as increased scale in the number of clusters and the quantity of nodes. The simulation results support the idea that our algorithm has a fast convergence speed and provides more accurate estimation compared to similar approaches.
Journal
International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers
Published: Jan 1, 2014