Energy and bandwidth-efficient Wireless Sensor Networks for monitoring high-frequency events

Abstract

Abstract-Wireless Sensor Networks (WSNs) are mostly deployed to detect events (i.e., objects or physical changes) at a high/low frequency sampling that is usually adapted by a central unit (or a sink), thus requiring additional resource usage in WSNs. However, the problem of autonomous adaptive sampling regarding the detection of events has not been studied before. In this paper, we propose a novel scheme, termed "event-sensitive adaptive sampling and low-cost monitoring (e-Sampling)" by addressing the problem in two stages, which lead to reduced resource usage (e.g., energy, radio bandwidth) in WSNs. First, e-Sampling provides a solution to adaptive sampling that automatically switches between high-and low-frequency intervals to reduce the resource usage while minimizing false negative detections. Second, by analyzing the frequency content, e-Sampling presents an event identification algorithm suitable for decentralized computing in resource-constrained WSNs. In the absence of an event, "uninteresting" data is not transmitted to the sink. We apply e-Sampling to structural health monitoring (SHM), which is a typical application of high frequency events. Evaluation via both simulations and experiments validates the advantages of e-Sampling in low-cost event monitoring, and in expanding the capacity of WSNs for high data rate applications.

Sensor Placement with Multiple Objectives for Structural Health Monitoring

“…But the deployments do not focus on the integration of both types of aspects (called cyber-physical system (CPS) aspects) [Peckens and Lynch 2013;Anshuman et al 2013;Bocca et al 2011;Farrar and Worden 2012;Yi et al 2011;Araujo et al 2012;Bhuiyan et al 2013a]. This isolation may result in suboptimal CPS solutions.…”

Water Wave Optimization Algorithm based Congestion Control and Quality of Service Improvement in Wireless Sensor Networks

“…Base Station is responsible for the collection and processing of data collected from various different types of sensors [1,2]. The sensors deployed in the network are either of the same type or of different types depending on the application [3]. Open-air environments need many sensor nodes to cover a large area whereas fewer sensor nodes are needed in indoor environments in a sensor network [4,5].…”

Research on Node Deployment in Structural Health Monitoring Based on Reliability

“…Due to the low power and easy deployment of wireless sensors, the Wireless Sensor Networks (WSN) are becominghas become an enabling technology for SHM applications. Moreover, the new progress about sensor technology makes WSN effective and generates economical solution for a variety of applications, such as target tracking, scientific exploration and environmental monitoring [1][2][3], multi-sensor intelligent development has have been the trend of SHM system.…”

“…SHM systems monitor the health status of the structure and provide long-term monitoring and rapid analysis of unusual events such as earthquakes, loads, etc. In practice, it is difficult to achieve the goal because of the requirements of on SHM and the severe limitations of WSNs [1,3]. One of the basic requirements for on SHM is the sensor location optimization.…”

“…For SHM, recent researches [3,15] optimized the deployment of wireless sensors based on EFI, which is an indication of the performance of deployment. The larger the value was, the better the placement would be.…”