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Internet of things (IoT) integrate the technologies such as sensing, communication, networking and cloud computing in wide range monitoring zone. For applications of IoT, the most appropriate monitoring network is wireless sensor networks (WSN). It is most important to develop energy efficient cluster head (CH) selection scheme to increase the network lifetime of WSNs. It is most crucial to save the...
The conventional positioning systems require the users to carry an electronic device, which helps in the localization process. Device-free Passive Localization (DfPL) techniques are used to position the users in a passive manner such that they do not engage in the process. A typical DfPL setup comprises of Wi-Fi Access Points (APs) that transmit periodic signals to Monitoring Points (MPs). Any intrusion...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
Dynamic Energy investment funds streamlining gets to be one of the significant worries in the remote sensor system (WSN) directing convention outline, because of the way that most sensor hubs are furnished with the constrained non rechargeable battery power. In this paper, we concentrate on minimizing vitality utilization and amplifying system lifetime for information transfer in one-dimensional (1-D)...
Dealing with the whole dataset in big data estimation problems is usually unfeasible. A common solution then consists of dividing the data into several smaller sets, performing distributed Bayesian estimation and combining these partial estimates to obtain a global estimate. A major problem of this approach is the presence of a non-negligible bias in the partial estimators, due to the mismatch between...
In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem. In order to wisely manage the available energy resources, we propose a scheme where a censoring algorithm is jointly applied over the diffusion strategy. An energy-aware variation of a diffusion algorithm is used, and a new way of measuring the relevance of the estimates in diffusion networks...
The positioning technology is one of the most important technologies in the wireless sensor network. The paper describes the current international positioning on several existing technologies, including the based ranging RSSI, TOA, TDOA, etc. and non-centroid algorithm based on distance, Amorphous algorithm, APIT algorithm and so on. Dv_Hop algorithm is a distributed localization algorithm based on...
Localisation defines the process of determining the topographical location of sensor nodes in wireless sensor network. Current localisation method is space oriented which adopts GPS (Global Positioning System) signal to yield the location information of the nodes. The GPS signals are suited for outdoor environments, however they fail to work indoors, which makes the need to opt for terrestrial localisation...
Railway transportation systems are gaining relevance in their adoption, driven by decreasing costs, higher interconnectivity options and timely operation. The Railway Transportation system is comprised by vehicular elements, as well as several infrastructure elements, which require constant interaction and communication, for tele-control and tele-command, signaling systems, passenger information and...
In this paper, we focus on solving the decentralized consensus optimization problem defined over a networked multi-agent system. All the agents shall cooperatively find a common minimizer of the overall objective while each agent holds its own local objective and can only communicate with its neighbors. Motivated by many applications in which the local objective is the sum of a differentiable part...
Lately, pervasive and ubiquitous computing services have been under focus of not only the research community, but developers as well. Different devices generate different types of data with different frequencies. Emergency, healthcare, and latency sensitive services require real-time response. Also, it is necessary to decide what type of data is to be uploaded in the cloud, without burdening the core...
Recent technological developments in Micro-ElectroMechanical System (MEMS) and communication system have made the wireless sensor networks (WSNs) with emerging applications. Localization is the essential research problem in WSNs. In this paper, I have projected Received Signal Strength Indicator (RSSI) and improved Distance vector (DV) localization algorithms for accurate position estimation. The...
A novel indoor positioning method based on user's inertial measurements, measured radio signal strength indicator (RSSI), and compass readings is presented. Based on distance travelled derived from inertial measurements and heading direction from compass readings, the user's position is initially computed using Dead-Reckoning (DR) method. Then the estimated position, under certain condition, will...
Energy consumption is one of the fundamental problems in wireless sensor networks (WSN). In this paper the energy optimization problem is addressed in a clustered wireless network by proposing a novel consensus algorithm that guarantees an uniformly distributed energy consumption reduction by means of combining local and global rules applied to the censoring technique. The algorithm is illustrated...
This paper considers the problem of source localization under received signal strength in the presence of an intelligent adversary. The adversary's goal is to redirect the location estimate to a specified location away from its true value by slightly perturbing each of the sensors' position measurements. This work takes the viewpoint of the adversary and determines the false positioning information...
This paper reviews sensor selection methods for distributed detection, distributed estimation and distributed tracking in wireless sensor networks. Before the discussion of different sensor selection methods, brief introductions of distribution detection, distribution estimation and distributed tracking are presented respectively. Future research directions are also given to facilitate further research...
Most of the present localization algorithms based on manifold learning in wireless sensor networks get the estimated sensor locations by using one neighborhood parameter. These algorithms are sensitive to the neighborhood parameter, and can not guarantee that the selected parameter of the neighborhood is optimal. To overcome this shortcoming, this paper proposes the robust localization method based...
Ubiquitous computing technology has brought great attentions in recent years since it promises a simple operation to an ever increasing comprehensive digital world. For a networked home supporting advanced applications, ubiquitous media access becomes a must to offer enjoyable experience for home users. The first step of ubiquitous computing is the seamless detection of user activities in order to...
In distributed statistical inference, it is of interest to relate the statistical properties of different estimates of a parameter obtained by users who have access to different sets of observations. Suppose there are a number of sources of interest, and each user has access to observations that are a combination of data emerging from a particular subset of sources. For a given class of users, the...
In this paper an RSSI based distance estimation technique for 802.15.4 network, based on CC2420 radio core, is discussed. In this approach we use standard deviation (SD) of the RSSI value and the packet loss information as a part of model parameters estimation process. The SD and packet loss limits are optimized along with the curve parameters to achieve minimum distance error. The distance estimator...
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