Abstract
In this paper, we consider IEEE 802.15.4 based wireless body area sensor networks (WBASN) in the healthcare environment. Connectivity is a critical constraint in the healthcare environment. In particular, disconnection from a sensor hub is a significant problem that leads to sensor node orphaning. To address this, we propose to use a sub hub designed to enhance WBASN connectivity. The sub hub understudies the original (main) sensor hub and acts to resolve the problems associated with disconnection. We also propose two protocols for use in operating the sub hub. Each protocol prevents the sensor nodes from being orphaned, and forwards data from the sensor nodes to the original sensor hub. In addition, we evaluate the connectivity performance of our proposed protocols and analyze the disconnection tolerance and the number of packet drops. To demonstrate the performances of the proposed protocols, we developed an IEEE 802.15.4 compliant system level simulator with an OPNET Modeler. Simulation results show the individual merits and the demerits of each of the protocols in terms of connectivity. In addition, the energy efficiency of our proposed protocol is evaluated.
Original language | English |
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Title of host publication | 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1042-1047 |
Number of pages | 6 |
ISBN (Electronic) | 9781479984060 |
DOIs | |
Publication status | Published - 2015 Jun 17 |
Event | 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 - New Orleans, United States Duration: 2015 Mar 9 → 2015 Mar 12 |
Publication series
Name | 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 |
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Other
Other | 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 |
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Country/Territory | United States |
City | New Orleans |
Period | 15/3/9 → 15/3/12 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing