Cross-layer design for adaptive data reporting in wireless sensor networks

Authors:
Hyun Jung Choe;Preetam Ghosh;Sajal K. Das
Affiliations:
Center for Research in Wireless Mobility and Networking (CReWMaN), Department of Computer Science and Engineering, The University of Texas at Arlington, USA;School of Computing, The University of Southern Mississippi, USA;Center for Research in Wireless Mobility and Networking (CReWMaN), Department of Computer Science and Engineering, The University of Texas at Arlington, USA
Venue:
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Year:
2009

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Abstract

In this paper, we propose an integrated cross-layer data reporting scheme focusing on communication protocols in wireless sensor networks. The scheme operates based on the various application demands and available resources to provide an adaptive quality of service (QoS). The goal of this work is to achieve the expected information quality at the end system by efficiently controlling data reporting functions in communication layers considering parameters from other layers. The main work of this paper focuses on the QoS-aware data reporting tree construction scheme, called QRT, and the QoS-aware node scheduling scheme, called QNS. QRT constructs a data reporting tree based on the conditions of the end-to-end delay and the traffic load to find data reporting paths from each cluster head, which has already collected data from its cluster members, to a sink. QNS schedules a certain number of nodes that are selected based on the QoS requirements in a cluster to report data to its cluster head in a collision-free manner. Simulation results show that these schemes provide good throughput performance while providing stable data reporting that is not affected by network density.