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Radio frequency (RF) energy transfer is a promising technology to supply power to the next generation wireless sensor networks. In this paper, we develop an opportunistic sensing framework for joint energy harvesting and channel access: a channel with a high probability of being occupied for harvesting energy is selected, and at the same time, a channel with a high probability of being vacant for...
Border surveillance has many applications in national security, infrastructure security, habitat monitoring, detecting illegal trespasses, military applications, and so on. This topic has received an increased attention recently. Sensing coverage and reliable data transmission are critical aspects in border surveillance using wireless sensor networks. In this paper we propose RMA-BS, a cognitive radio...
In wireless sensor networks (WSNs), efficient use of the nodes' available energy is the main goal which most of the routing protocols seek to achieve. In fact, clustering based routing protocols have gained vast approval due to its merit of less energy exhaustion. The expended energy by one cluster is divided into two main terms, namely, the expended energy in intra-cluster communication (Intra-term)...
Building environment plays an important role in ensuring a healthy and productive environment for indoor occupants. However, with the increasing demand for comfortable thermal environment and the call for sustainable building operation, achieving a balance between energy consumption and user's thermal preference is challenging. From the informatics perspective, previous studies mainly focused on intelligent...
Internet of Things (IoT) is a new paradigm which is enormously gaining ground in today's world. In order to maintain desirable service quality in the transmission of sensed data, data aggregation schemes are highly used. The main goal of data aggregation scheme is to collect and aggregate data packets in an efficient manner so as to reduce power consumption, traffic congestion, and to increase network...
The objectives of this project were to design, develop, install, and test a stand-alone and unmanned network of effective, reconfigurable, low-power, low-cost, long distance by multi-hop, and sustainable CBFEWS. This system aims to monitor and detect through sensors, and communicate early warning data by wireless telemetry to disaster risk-reduction centers. This gives risk-reduction managers of local...
There is an enormous interest in the development of gas monitoring systems for application in the gas leaks, detection of harmful gases in mines, home safety, exhausts gas monitoring, etc. A key fact in all these is the need of the flexible and practical virtual instrumentation, a way to easily expose the gas sensors to hazardous levels of gas concentrations. The detection of LPG/CNG gases has become...
In this paper, we are presenting a data flow and fault management architecture, developed for an event driven wireless sensor network used in landslide surveillance. Our concept system collects landslide data using a dedicated wireless sensor network. The WSN was configured with tree architecture and contains one gateway, relay nodes, and multiple end nodes. The WSN components were distributed in...
For retrieving information in a wireless sensor network (WSN) from any node, each node must know the status of the entire network, leading to a high cost of energy in communication and information storage. In this paper, we evaluated a recovery method to request information from any node of a WSN with the use of compress sensing to compact the data to be stored and transmitted, and the use of a gossip...
On the Internet of the future, billions of physical objects will collect and exchange data that will be stored in the Cloud Computing. A bad storage structure of big data has a negative influence on the latency time during the client's requests. To solve this problem, we have proposed an Infrastructure as a Service (IaaS) for the input and the output of different files on servers' clusters. We have...
Locating fixed sensing devices with a mobile anchor is attractive for covering larger deployment areas. Probabilistic localization has been shown to reduce error over deterministic approaches, yet the performance sensitivity to the geometric arrangement of anchor beacon positions remains unexplored. This paper presents a detailed description of a new RSSI-based localization algorithm which uses a...
One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we studied this problem as a decision problem, whose goal is to determine whether every point in the service area of the sensor network is covered by at least k sensors, where k is a predefined value. The sensing ranges of sensors can be unit...
With the evolution of wireless technologies Wireless Sensor Network(WSN) have gained tremendous exposure in field of sensing remote places. For researchers WSN has been most sought for field due to its wide area of applications and usefulness. Day by day new technologies are evolving with new and efficient features, which keep this field live for development and research oriented work. The key component...
Sensing and computing wrapped ubiquitously by enabling Wireless Sensor Network have recently penetrated across various modern areas of living. As the sensors are becoming more and more cheap and with the implementation of IPv4, the vision of Internet of Things have come out to reach the unexpected bounds of today's computing world. In this paper, we have implemented the concept of IoT, so that we...
A number of ZigBee based monitoring systems are built on the basis of IOT technology in this work on the perception layer, using temperature/humidity sensors, light sensors and 3-axis accelerometer modules. Wirelessly transmitted to a monitoring center, all the sensed data are collected by a human computer interface. On the application layer in an IOT, simulation experiments are conducted, namely,...
In this paper we introduce a new SVR (Support Vector Regression) based model for estimating air pollution at fine spatial granularity. Specifically we use historical data from (sparse) government monitoring sites and a (dense) wireless sensor network, along with SVR — a supervised regression learning method to estimate an air pollution surface for any given hour on any given day in Sydney. Further,...
Impulse-radio wireless sensor network is a recently proposed concept of a wireless sensor network that aims sensing with high spatial resolution. Extremely simple architecture of the network is expected to largely reduce power consumption and maintenance cost, which enables installing huge number of sensors to observation area. Here, we propose a novel localization method for the impulse-radio wireless...
We evaluate an ultra-low-power radiation-sensing circuit based on a radiation sensitive MOSFET (RADFET) for use in Wireless Sensor Networks (WSN) powered by energy harvesting with a special focus on airborne applications. We estimate a worst-case energy budget below 10 μJ per readout cycle superimposed on a constant worst-case power budget below 10 μW. The sensor circuit operates successfully with...
Energy is one of the most precious resource in Wireless Sensor Networks (WSNs) which is mainly consumed in communication, sensing and processing. Performance evaluation of WSN routing protocols primarily rely on simulation-based studies. Most of these studies only assume oversimplified First Order Radio Model (FORM) and ignore node's energy consumed in sensing and processing. This paper presents an...
The wireless sensor network has importance on account of recent improvement of information technology. Micro-electrical mechanical system is used to evolve sensors over the last past decades. The enormous numbers of sensors are redistributed for sensing as well as accumulating data from its neighborhood through routing protocol. Industrial township area yields smoke on account of burning of diesel,...
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