Authors:
Heikki Mahkonen
1
;
Tony Jokikyyny
1
;
Jaime Jimenéz
1
and
Sławomir Kukliński
2
Affiliations:
1
Ericsson Research, United States
;
2
Orange Labs, Poland
Keyword(s):
Machine-to-Machine, Internet of Things, Cognitive Network Management, Distributed Hash Tables, Publish Subscribe Networking.
Related
Ontology
Subjects/Areas/Topics:
Ad Hoc Networks
;
Connectivity and Communication
;
Data Communication Networking
;
Decision Support Systems
;
Enterprise Information Systems
;
Internet of Things
;
Network Architecture
;
Programming and Middleware
;
Scheduling, Tasking and Control
;
Sensor Networks
;
Software Agents and Internet Computing
;
Software and Architectures
;
Telecommunications
;
Wireless Information Networks
Abstract:
The number of deployed sensor devices with Internet connection is expected to exceed 50 billion units. Many of these devices spend most of their time in sleep mode to conserve energy. This sets new kinds of requirements for network management, and creates the need of redesigning conventional network management. Hence, most of the manual deployment, configuration and operation tasks need to be automated in a scalable fashion, using protocols that can deal with the uncertainty caused by the intermittent nature of the devices. For scalability reasons, the network management logic needs to be distributable in the network management architecture. In this document we describe our management framework for M2M networks. It is also shown, how the framework has been implemented as a prototype testbed. We have used the testbed to study centralized and de-centralized M2M network management logic for different management scenarios.