Abstract
Machine-to-Machine (M2M) communication is the leading technology for realising the Internet-of-Things (IoT). The M2M sensor nodes are characterized by low-power and low-data rates devices which have increased exponentially over the years. IPv6 over low power wireless personal area network (6LoWPAN) is the first protocol that provides IPv6 connectivity to the wireless M2M sensor nodes. Having a tremendous number of M2M sensor nodes execute independent control decision leads to difficulty in network control and management. In addition, these evergrowing devices generate massive traffic and cause energy scarcity, which affects the M2M sensor node lifetime. Recently, software defined-networking (SDN) and network functioning virtualization (NFV) are being used in M2M sensor networks to add programmability and flexibility features in order to adopt the exponential increment in wireless M2M traffic and enable network configuration even after deployment. This paper presents a proof-of-concept implementation which aims to analyze how SDN, NFV, and cloud computing can interact together in the 6LoWPAN gateway to provide simplicity and flexibility in network management. The proposed approach is called customized software defined-NFV (SD-NFV), and has been tested and verified by implementing a real-time 6LoWPAN testbed. The experimental results indicated that the SD-NFV approach reduced the network discovery time by 60% and extended the node’s lifetime by 65% in comparison to the traditional 6LoWPAN network. The implemented testbed has one sink which is the M2M 6LoWPAN gateway where the network coordinator and the SDN controller are executed. There are many possible ways to implement 6LoWPAN testbed but limited are based on open standards development boards (e.g., Arduino, Raspberry Pi, and Beagle Bones). In the current testbed, the Arduino board is chosen and the SDN controller is customized and written using C++ language to fit the 6LoWPAN network requirements. Finally, SDN and NFV have been envisioned as the most promising techniques to improve network programmability, simplicity, and management in cloud-based 6LoWPAN gateway.
Highlights
O NLY a few years by 2020, the number of devices connected to the Internet will increaseManuscript received January 12, 2017; accepted May 3, 2017
This section introduces the concerning studies that are closely related to the integration and implementation of software defined-networking (SDN) and network functioning virtualization (NFV) in low-power and low-data rate wireless networks (i.e., ZigBee and 6LoWPAN) with cloud computing, as well as the current possibilities to enable these technologies to work together in the same network infrastructure
Mahmud et al [10] presented the deployment of OpenFlow technology in wireless sensor network (WSN), the proposed approach being called the Flow-Sensor, which led to considerable achievements in IoT and cloud computing through network virtualization
Summary
O NLY a few years by 2020, the number of devices connected to the Internet will increase. The connected devices will be quite diverse in functionality and processing capability, having the ability to sense, actuate, process, and store data. These devices can communicate with each other and exchange information in a Machine-to-Machine (M2M) paradigm [2]. SDN can enable sensor node retasking in M2M networks and it provides seamless resource management for implementing different algorithms through the centralized controller [7]. This adaptation layer is responsible for header compression, fragmentation, and reassembly of IPv6 packet when it is sent or received over the IEEE 802.15.4 standard [9]
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