Title :
Efficient, adaptive and scalable device activation for M2M communications
Author :
Arijit Banerjee;Binh Nguyen;Vijay Gopalakrishnan;Sneha Kasera;Seungjoon Lee;Jacobus Van der Merwe
Author_Institution :
School of Computing, University of Utah
fDate :
6/1/2015 12:00:00 AM
Abstract :
When traffic arrives from the network for an idled mobile device, the network executes device activation procedures to wake the device up. Current device activation mechanisms are ill suited to support the expected growth of machine-to-machine (M2M) devices and traffic. We propose an adaptive device activation architecture for LTE/EPC cellular networks that adapts to network conditions and M2M application requirements to realize scalable device activation without increasing the resources used for this purpose. Our evaluation shows that our adaptive approach enables the network to handle M2M applications with a large number of devices without negatively impacting existing human-to-human (H2H) and human-to-machine (H2M) traffic.
Keywords :
"Adaptive systems","Performance evaluation","Heuristic algorithms","Long Term Evolution","Conferences","Sensors","Servers"
Conference_Titel :
Sensing, Communication, and Networking (SECON), 2015 12th Annual IEEE International Conference on
DOI :
10.1109/SAHCN.2015.7338340