Cloud-based self-organizing localization with virtual network topology for wireless sensor networks and its implementation

Abstract

Wireless sensor networks (WSNs) are an essential technology for the Internet of Things (IoT) and Machine-to-Machine (M2M), and node locations on them are indispensable for IoT and M2M applications. Therefore, we proposed a Cloud-based Self-Organizing localization (Cloud-SOL), which is composed of a WSN and a cloud computing environment with which the WSN connects. The Cloud-SOL aggregates the WSN's neighbor node list to the cloud computing environment and can estimate precise node locations using the WSN's aggregated topology information. However, it requires multi-hop topology with a high hop count for the WSNs. In this paper, we propose a virtual network topology for Cloud-SOL and show its implementation. The virtual network topology dynamically and ideally configures the WNS topology in cloud computing environment to the Clod-SOL without dependence on actual WSN topology.