Software Defined Networking for Improved Wireless Sensor Network Management: A Survey

Ndiaye, Musa; Hancke, Gerhard P.; Abu‐Mahfouz, Adnan M.

doi:10.3390/s17051031

Cited by 172 publications

(86 citation statements)

References 123 publications

(237 reference statements)

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“…The CP contains all the control logic of the BLE mesh network. Such logic could run either on the sink nodes or on a common point of arrival for all the data in case of distributed networks [7]. The implemented control logic resides, for this work, on a server where all the BLE nodes transmit data to.…”

Section: ) Control Planementioning

confidence: 99%

“…When applied to wireless networks, orthogonality is achieved by redirecting the control plane over a wired backbone or over a secondary wireless interface using a technology that is able to handle the increased channel occupancy and energy demand while still guaranteeing reliable message delivery [4]. As WSN networks have limited range, capacity, reliability and energy, with mobile nodes using a single network interface, this approach is usually not possible and as such limits the practical advantages of the SDN paradigm as it constraints the control traffic to the same impediments of the data messages [7]. Figure 1 shows the architecture of an SDN-controlled WSN in which both control and data travel over wireless channels.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SDN on BLE: Controlling Resource Constrained Mesh Networks

Murillo

Chiumento

Reynders

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Wireless connectivity for the Internet of Things (IoT) requires combining low latency and high reliability with power and cost constraints. On top of that, diverse applications and end-to-end services with very different performance requirements should ideally share the same network infrastructure. Software defined networks (SDN) were defined to allow this coexistence, but they have seen very limited adoption in IoT systems due to the inherent resource constrained nature of the wireless devices. Additionally, the low-power nature of IoT communication standards does not usually allow for physically separated control and data channels, which is a basic requirement for real-time network slicing. In this work, we propose a SDN implementation for Bluetooth Low Energy (BLE), which has become the de-facto technology for IoT applications. The proposed BLE mesh structure is able to use different protocols for different services, ensuring a clear separation between control and data channels while still being sent over the wireless medium. A proof-of-concept for the proposed SDN implementation is given in a real BLE mesh testbed, where measurements show how the system is able to automatically detect and recover from network congestion by identifying the nodes responsible of such situation and reconfiguring their parameters over the air.

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Section: ) Control Planementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SDN on BLE: Controlling Resource Constrained Mesh Networks

Murillo

Chiumento

Reynders

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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show abstract

“…Software-defined networks (SDNs) is a relatively new concept that is used in several fields like in wireless sensor architectures [8,9], fifth-generation cellular systems (5G) [10,11], future smart systems [12] and cognitive routing [13]. SDN is becoming popular because of its flexibility to separate the hardware packet forwarding mechanism from the control logic [14,15].…”

Section: Introductionmentioning

confidence: 99%

Towards a Scalable Software Defined Network-on-Chip for Next Generation Cloud

Scionti

Mazumdar

Portero

2018

Sensors

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The rapid evolution of Cloud-based services and the growing interest in deep learning (DL)-based applications is putting increasing pressure on hyperscalers and general purpose hardware designers to provide more efficient and scalable systems. Cloud-based infrastructures must consist of more energy efficient components. The evolution must take place from the core of the infrastructure (i.e., data centers (DCs)) to the edges (Edge computing) to adequately support new/future applications. Adaptability/elasticity is one of the features required to increase the performance-to-power ratios. Hardware-based mechanisms have been proposed to support system reconfiguration mostly at the processing elements level, while fewer studies have been carried out regarding scalable, modular interconnected sub-systems. In this paper, we propose a scalable Software Defined Network-on-Chip (SDNoC)-based architecture. Our solution can easily be adapted to support devices ranging from low-power computing nodes placed at the edge of the Cloud to high-performance many-core processors in the Cloud DCs, by leveraging on a modular design approach. The proposed design merges the benefits of hierarchical network-on-chip (NoC) topologies (via fusing the ring and the 2D-mesh topology), with those brought by dynamic reconfiguration (i.e., adaptation). Our proposed interconnect allows for creating different types of virtualised topologies aiming at serving different communication requirements and thus providing better resource partitioning (virtual tiles) for concurrent tasks. To further allow the software layer controlling and monitoring of the NoC subsystem, a few customised instructions supporting a data-driven program execution model (PXM) are added to the processing element’s instruction set architecture (ISA). In general, the data-driven programming and execution models are suitable for supporting the DL applications. We also introduce a mechanism to map a high-level programming language embedding concurrent execution models into the basic functionalities offered by our SDNoC for easing the programming of the proposed system. In the reported experiments, we compared our lightweight reconfigurable architecture to a conventional flattened 2D-mesh interconnection subsystem. Results show that our design provides an increment of the data traffic throughput of 9.5% and a reduction of 2.2× of the average packet latency, compared to the flattened 2D-mesh topology connecting the same number of processing elements (PEs) (up to 1024 cores). Similarly, power and resource (on FPGA devices) consumption is also low, confirming good scalability of the proposed architecture.

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“…Song [24] proposes a heterogeneous sensor network to improve the efficiency of network coverage but optimization needs to be addressed. Ndiaye et al [20] proposed that Software Defined Networking (SDN) provides a promising solution in flexible management WSNs by allowing the separation of the control logic from the sensor nodes/actuators [17]. The advantage with this SDN-based management in WSNs is that it enables centralized control of the entire WSN making it simpler to deploy network-wide management protocols and applications on demand.…”

Section: Related Workmentioning

confidence: 99%

SHRP - Secure Hybrid Routing Protocol over Hierarchical Wireless Sensor Networks

Muthusenthil

Kim²

2017

INT J COMPUT COMMUN

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A data collection via secure routing in wireless sensor networks (WSNs) has given attention to one of security issues. WSNs pose unique security challenges due to their inherent limitations in communication and computing, which makes vulnerable to various attacks. Thus, how to gather data securely and efficiently based on routing protocol is an important issue of WSNs. In this paper, we propose a secure hybrid routing protocol, denoted by SHRP, which combines the geographic based scheme and hierarchical scheme. First of all, SHRP differentiates sensor nodes into two categories, nodes with GPS (NG) and nodes with antennas (NA), to put different roles. After proposing a new clustering scheme, which uses a new weight factor to select cluster head efficiently by using energy level, center weight and mobility after forming cluster, we propose routing scheme based on greedy forwarding. The packets in SHRP are protected based on symmetric and asymmetric cryptosystem, which provides confidentiality, integrity and authenticity. The performance analyses are done by using NS2 and show that SHRP could get better results of packet loss rate, delivery ratio, end to end delay and network lifetime compared to the well known previous schemes.

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Software Defined Networking for Improved Wireless Sensor Network Management: A Survey

Cited by 172 publications

References 123 publications

SDN on BLE: Controlling Resource Constrained Mesh Networks

SDN on BLE: Controlling Resource Constrained Mesh Networks

Towards a Scalable Software Defined Network-on-Chip for Next Generation Cloud

SHRP - Secure Hybrid Routing Protocol over Hierarchical Wireless Sensor Networks

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