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In-Depth Information
FUTURE RESEARCH DIRECTIONS
REFERENCES
Argyriou, A., & Madisetti, V. (2006). Using a new
protocol to enhance path reliability and realize
load balancing in mobile ad hoc networks. Else-
vier Ad Hoc Networks , 4 , 60-74. doi:10.1016/j.
adhoc.2004.04.005
Future research directions include the analysis and
design of a cooperative strategy in an E-healthcare
system to regulate the data load proportionally
with the traffic priority. The priority can be related
to both the bandwidth requirement for reliable
communication of a vital signal and to the level
of emergency in a specific acute care, clinical
disease or outbreak/disaster situation. Moreover,
some fairness criteria (max min, proportional)
can be considered for bandwidth allocation to
different heath care traffic sources in order to
optimize overall performance such as patients'
utility, network lifetime and network utilization.
Choi, D. I., Jung, J., Kwon, K., Montgomery, D.,
& Kahng, H. (2003). Design and simulation result
of a weighted aware routing (WLAR) protocol in
mobile ad-hoc network (. LNCS , 3391 , 178-187.
Gao, T., Greenspan, D., Welsh, M., Juang, R. R., &
Alm, A. (2005). Vital signs monitoring and patient
tracking over a wireless network. In Proceedings
of the 27 th Annual International Conference Eng.
Medicine and Biology Soc., Shanghai, China (pp.
102-105). New York, NY: IEEE Press.
CONCLUSION
Gerasimov, I., & Simon, R. (2002). A bandwidth-
reservation mechanism for on-demand ad-hoc
path finding . In the 35 th Annual Simulation
Symposium (SS'02), San Diego, CA (pp. 20-27).
In this chapter, we have shown the enhancement
of the performance of a wireless E-Healthcare
system achieved by introducing a minimal rout-
ing cooperation. Using a realistic simulator, we
have addressed the performance evaluation of an
enhanced cooperative AODV protocol (QBAR)
for WBAN applications, demonstrating the good
performance in terms of scalability, packet losses,
reliability, latency and energy balancing. This
is particularly significant in future real time E-
Healthcare applications where it will be increas-
ingly necessary for the observed event (or action
e.g. SMS, alarm, or reminder message) to be
reliably detected (actuated) within a certain time
limit and in a reliable way. Finally, the simulation
results clearly indicate the benefits of adopting a
cooperative strategy in healthcare system manage-
ment highlighting how it could enhance the QoS
of future emerging E-Healthcare systems.
Hung, K., & Zhang, Y. (2003). Implementation
of a WAP-based telemedicine system for patient
monitoring. IEEE Transactions on Information
Technology in Biomedicine , 7 (2), 101-107.
doi:10.1109/TITB.2003.811870
Jovanov, E., Milenkovic, A., Otto, C., & De Groen,
P. (2005). A wireless body area network of intelli-
gent motion sensors for computer assisted physical
rehabilitation. Journal of Neuroengineering and
Rehabilitation , 2 (1), 2-6. doi:10.1186/1743-
0003-2-6
Jovanov, E., O'Donnell Lords, A., Raskovic, D.,
Cox, P. G., Adhami, R., & Andrasik, F. (2003).
Stress monitoring using a distributed wireless
intelligent sensor system. IEEE Engineering in
Medicine and Biology Magazine , 22 (3), 49-55..
doi:10.1109/MEMB.2003.1213626
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