TinySDM: Software Defined Measurement in Wireless Sensor Networks

Cao, Chenhong; Luo, Luyao; Gao, Yi; Dong, Wei; Chen, Chun

doi:10.1109/ipsn.2016.7460723

Cited by 15 publications

(7 citation statements)

References 25 publications

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“…In [55], the authors proposed TinySDM, a Software Defined Measurement Architecture for WSNs. TinySDM has numerous abilities such as providing support for conducting various measurement tasks, allowing easy customization of various measurement task and allowing efficient deployment of new measurement tasks.…”

Section: Existing Work On Sdwsnmentioning

confidence: 99%

Software defined wireless sensor networks application opportunities for efficient network management: A survey

Modieginyane

Letswamotse

Malekian

et al. 2018

Computers & Electrical Engineering

179

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Wireless Sensor Networks (WSNs) are one the most widely adopted information technologies of modern networking and computing platforms. Today's network computing applications are faced with a high demand of powerful network functionalities. Functional network reach is central to customer satisfaction such as in mobile networks and cloud computing environments. However, efficient management of WSNs remains a challenge, due to problems supplemental to them. Recent technology shift proposes Software Defined Networking (SDN) for improving computing networks. This review paper highlights application challenges faced by WSNs for monitored environments and those faced by the proposed approaches, as well as opportunities that can be realized on applications of WSNs using SDN. We also highlight Implementation considerations by focusing on critical aspects that should not be disregarded when attempting to improve network functionalities. We then propose a strategy for Software Defined Wireless Sensor Network (SDWSN) as an effort for application improvement in monitored environments.

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Section: Existing Work On Sdwsnmentioning

confidence: 99%

Software defined wireless sensor networks application opportunities for efficient network management: A survey

Modieginyane

Letswamotse

Malekian

et al. 2018

Computers & Electrical Engineering

179

View full text Add to dashboard Cite

show abstract

“…Recently however, work has been presented on a network measurement architecture based on SDN for monitoring of WSN information such as routing path per-packet, the loss ratio for each link and the delay resulting from each hop in a multi-hop configuration. TinySDM [ 117 ] a software defined measurement architecture built on the TinyOS [ 83 ] platform enables easy customisation and execution of various measurement metrics and allows for quick and efficient implementation of measurement tasks.…”

Section: Management Of Wsns Based On Sdnmentioning

confidence: 99%

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

Ndiaye

Hancke

Abu‐Mahfouz³

2017

Sensors

183

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Wireless sensor networks (WSNs) are becoming increasingly popular with the advent of the Internet of things (IoT). Various real-world applications of WSNs such as in smart grids, smart farming and smart health would require a potential deployment of thousands or maybe hundreds of thousands of sensor nodes/actuators. To ensure proper working order and network efficiency of such a network of sensor nodes, an effective WSN management system has to be integrated. However, the inherent challenges of WSNs such as sensor/actuator heterogeneity, application dependency and resource constraints have led to challenges in implementing effective traditional WSN management. This difficulty in management increases as the WSN becomes larger. 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. 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. This paper highlights some of the recent work on traditional WSN management in brief and reviews SDN-based management techniques for WSNs in greater detail while drawing attention to the advantages that SDN brings to traditional WSN management. This paper also investigates open research challenges in coming up with mechanisms for flexible and easier SDN-based WSN configuration and management.

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“…The proposed system neither uses smart routing decisions nor includes the IEEE 802.15.4 protocol. Cao et al propose a new software‐defined measurement architecture called TinySDM. It has three tasks: (1) path measurement, (2) delay measurement, and (3) metric collection.…”

Section: Related Workmentioning

confidence: 99%

A novel energy‐aware routing mechanism for SDN‐enabled WSAN

Al-Hubaishi

Çeken

Al-Shaikhli

2018

Int J Communication

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Energy consumption is one of the most important design constraints when building a wireless sensor and actuator network since each device in the network has a limited battery capacity, and prolonging the lifetime of the network depends on saving energy. Overcoming this challenge requires a smart and reconfigurable network energy management strategy. The Software-Defined Networking (SDN) paradigm aims at building a flexible and dynamic network structure, especially in wireless sensor networks. In this study, we propose an SDN-enabled wireless sensor and actuator network architecture that has a new routing discovery mechanism. To build a flexible and energyefficient network structure, a new routing decision approach that uses a fuzzy-based Dijkstra's algorithm is developed in the study. The proposed architecture can change the existing path during data transmission, which is the key property of our model and is achieved through the adoption of the SDN approach. All the components and algorithms of the proposed system are modeled and simulated using the Riverbed Modeler software for more realistic performance evaluation. The results indicate that the proposed SDN-enabled structure with fuzzy-based Dijkstra's algorithm outperforms the one using the regular Dijkstra's and the ZigBee-based counterpart, in terms of the energy consumption ratio, and the proposed architecture can provide an effective cluster routing while prolonging the network lifetime. KEYWORDSInternet of Things (IoT), routing discovery, Software-Defined Networking, wireless sensor and actuator networks, WSANFlow (QoS), and application-specific requirements when determining the optimum path between the source and destination devices. Since prolonging the network lifetime is a crucial design constraint for WSAN, building an energy-aware routing discovery algorithm is a major challenge. 3,8,9 Another problem that must be faced when dealing with a WSAN structure is lack of flexibility in such network operations as establishment, management, and configuration. In the last few years, Software-Defined Networking (SDN) has attracted growing interest in the computer network communities as a new solution for a simpler, more flexible, and less overworked network control. 1,4 In the SDN architecture, which aims at separating data and control planes, all the control functions of the network are performed by a centralized device, which is referred to as the SDN Controller (SDNC). Network devices in the data plane are responsible only for forwarding the data using the related entries in their flow tables.The primary goal of this research study is to implement a new energy-aware and flexible WSAN structure with an effective routing discovery mechanism. To find effective solutions to the abovementioned problems of the WSAN structure, we proposed an SDN-enabled WSAN architecture that has a new routing discovery mechanism. To be able to build a flexible and energy-efficient network structure, a new routing decision approach that uses a fuzzy-based Dijkstra's algorithm is...

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TinySDM: Software Defined Measurement in Wireless Sensor Networks

Cited by 15 publications

References 25 publications

Software defined wireless sensor networks application opportunities for efficient network management: A survey

Software defined wireless sensor networks application opportunities for efficient network management: A survey

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

A novel energy‐aware routing mechanism for SDN‐enabled WSAN

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