On data gathering protocols for in-body biomedical sensor networks
- 1 January 2005
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 6 pp.-2996
- https://doi.org/10.1109/glocom.2005.1578306
Abstract
This paper investigates the effectiveness of data gathering protocols for in-body biomedical sensor networks. We studied the performance of representatives from each of three major protocol categories: (1) low energy adaptive clustering hierarchy (LEACH), a cluster-based protocol, (2) power efficient gathering for sensory information systems (PEGASIS), a chain-based protocol, and (3) hybrid indirect transmissions (HIT), a hybrid of chains and clusters. First, the ability of each protocol to perform in-network source separation was judged. We consider a human-machine interaction application in which implanted bio-sensors communicate motor unit actions of human muscles to a remote computer. Motor unit action potentials (MUAPs) were modeled, and source separation and recovery at each sensor was simulated. We compare the performance of HIT and LEACH in terms of signal distortion ratios and the energy costs of fusion and communication. Second, we report on the efficiency of each protocol for in-body data collection, using Gupta et al's propagation loss model for biomedical applications (PMBA) - an accurate model of power loss due to signal absorption by the human body. We investigate the effectiveness of HIT, LEACH, and PEGASIS under this model, and compare their performance in terms of energy efficiency and network lifetimeKeywords
This publication has 7 references indexed in Scilit:
- Maximizing data extraction in energy-limited sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Towards a propagation model for wireless biomedical applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Design and analysis of Hybrid Indirect Transmissions (HIT) for data gathering in wireless micro sensor networksACM SIGMOBILE Mobile Computing and Communications Review, 2004
- Energy-efficient protocols for wireless communication in biosensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Data gathering algorithms in sensor networks using energy metricsIEEE Transactions on Parallel and Distributed Systems, 2002
- Research challenges in wireless networks of biomedical sensorsPublished by Association for Computing Machinery (ACM) ,2001
- Adaptive protocols for information dissemination in wireless sensor networksPublished by Association for Computing Machinery (ACM) ,1999