TY - GEN
T1 - Addressing the challenges of e-healthcare in future mobile networks
AU - Marwat, Safdar Nawaz Khan
AU - Pötsch, Thomas
AU - Zaki, Yasir
AU - Weerawardane, Thushara
AU - Görg, Carmelita
PY - 2013
Y1 - 2013
N2 - Machine-to-Machine (M2M) communication is expected to play a major role within the coming years towards the development of e-healthcare applications. The design of cellular networks, such as Long Term Evolution (LTE), is optimized to serve the data traffic of human-based communication with broadband requirements. E-healthcare traffic has different characteristics such as small packet sizes, narrowband requirements and huge number of devices. The focus of this work is to investigate the impact of e-healthcare traffic on LTE cellular networks. We develop a possible future scenario of electrocardiography (ECG) devices performing remote monitoring of patients with mobility support in our LTE simulation model. Regular LTE traffic is also deployed in the network and the influence of the varying ECG traffic is examined. The simulation results indicate that the e-healthcare related data traffic has a drastic influence on regular LTE traffic.
AB - Machine-to-Machine (M2M) communication is expected to play a major role within the coming years towards the development of e-healthcare applications. The design of cellular networks, such as Long Term Evolution (LTE), is optimized to serve the data traffic of human-based communication with broadband requirements. E-healthcare traffic has different characteristics such as small packet sizes, narrowband requirements and huge number of devices. The focus of this work is to investigate the impact of e-healthcare traffic on LTE cellular networks. We develop a possible future scenario of electrocardiography (ECG) devices performing remote monitoring of patients with mobility support in our LTE simulation model. Regular LTE traffic is also deployed in the network and the influence of the varying ECG traffic is examined. The simulation results indicate that the e-healthcare related data traffic has a drastic influence on regular LTE traffic.
KW - LTE
KW - M2M
KW - e-healthcare
KW - throughput
UR - http://www.scopus.com/inward/record.url?scp=84885693607&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885693607&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40552-5_9
DO - 10.1007/978-3-642-40552-5_9
M3 - Conference contribution
AN - SCOPUS:84885693607
SN - 9783642405518
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 99
BT - Advances in Communication Networking - 19th EUNICE/IFIP WG 6.6 International Workshop, Proceedings
T2 - 19th EUNICE/IFIP WG 6.6 International Workshop on Advances in Communication Networking, EUNICE 2013
Y2 - 28 August 2013 through 30 August 2013
ER -