Prof. Lucia Lo Bello, PhD

Dipartimento di Ingegneria Elettrica, Elettronica e Informatica (DIEEI) - Università degli Studi di Catania

An Adaptive Approach to Topology Management in Large and Dense Real-Time Wireless Sensor Networks

Publication type:  Journal Article

Authors: L. Lo Bello, E. Toscano

Journal: IEEE Transactions on Industrial Informatics

Volume: 5

Issue: 3

Pages: 314-324

Date: Aug. 2009

Abstract:
Topology management protocols play an important role in WSNs, managing the sleep transitions of the nodes to make data transmissions occur in an energy-efficient way, thus prolonging network lifetime. However, classical topology management protocols are not suitable for real-time WSNs, as they may introduce unbounded delays. In a previous work, we presented a static topology management protocol specifically designed for real-time WSNs which is able to provide bounded delay and routing fidelity. This paper extends such work, presenting a dynamic topology management protocol that surpasses the static approach introducing support for event-driven data transmissions and node joining at runtime and providing a novel adaptive technique for energy balancing among nodes to further increase network lifetime. This paper provides a detailed description of the dynamic protocol and simulation results on network lifetime and routing performance with comparative assessments.

ISSN: 1551-3203

DOI:10.1109/TII.2009.2025656

URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5161339

Status: published

Cite as:
 L. Lo Bello, E. Toscano, "An Adaptive Approach to Topology Management in Large and Dense Real-Time Wireless Sensor Networks", IEEE Transactions on Industrial Informatics, vol. 5, no. 3, pp. 314-324, Aug. 2009

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