Virtual Wireless Sensor Networks: Adaptive Brain-Inspired Configuration for Internet of Things Applications

Abstract

Many researchers are devoting attention to the so-called “Internet of Things” (IoT), and wireless sensor networks (WSNs) are regarded as a critical technology for realizing the communication infrastructure of the future, including the IoT. Against this background, virtualization is a crucial technique for the integration of multiple WSNs. Designing virtualized WSNs for actual environments will require further detailed studies. Within the IoT environment, physical networks can undergo dynamic change, and so, many problems exist that could prevent applications from running without interruption when using the existing approaches. In this paper, we show an overall architecture that is suitable for constructing and running virtual wireless sensor network (VWSN) services within a VWSN topology. Our approach provides users with a reliable VWSN network by assigning redundant resources according to each user’s demand and providing a recovery method to incorporate environmental changes. We tested this approach by simulation experiment, with the results showing that the VWSN network is reliable in many cases, although physical deployment of sensor nodes and the modular structure of the VWSN will be quite important to the stability of services within the VWSN topology.

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

“…Another fivelayered virtualization architecture has been explored to support network diversity and increase resource utilization in IoT [2]. Brain-inspired adaptive architecture has been presented for embedding and running IoT applications on virtual wireless sensor networks [9]. The aforementioned architectures did not consider communication failure on virtual networks, caused by the communication failure on physical WSNs.…”

“…The virtual network resource management model for IoT environments has been presented to handle service delivery with optimal resource utilization. Brain-inspired adaptive architecture has been presented for embedding and running IoT applications on virtualized WSNs [9]. Specifically, hierarchical modular structure of brain has been utilized for constructing different level of virtualization.…”

“…This is evident from recent surveys focusing on critical investigation of node and network level virtualization in WSNs for IoT [20,21] and applications [22][23][24][25]. Different levels of abstraction have been considered for the same purpose including four layers [8], five layers [2], and hierarchical layers [9].…”

Privacy and data security for grid‐connected home area network using Internet of Things

“…The design focuses more on engaging the Home Area Network (HAN) with IoT (Internet of Things), which are self-sustainable and structured elements in the wireless environment [1,2]. Based on the NIST (National Institute of Standards and Technology) conceptual model, the framework developed helps to leverage the gap between safety and security in data exchange and packet transfer.…”

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

“…Although in [20][21][22][23][24][25] the advantage of small-world WSN has been proven, the effects of shortcuts fail to achieve optimal performance as the shortcuts are randomly deployed. Aiming to improve the lifting effects of shortcuts, Guidoni et al [26] proposed two shortcuts placement schemes: DAS (Directed Angulation towards the Sink) and SSD (Sink Node as Source/Destination).…”