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The limited battery supply of a sensor node is one of the most important factors that limit the lifetime of the WSNs. As a consequence, increasing the lifetime of WSNs through energy efficient mechanisms has become a challenging research area. Previous studies have shown that instead of implementing direct transmission or multi-hop routing, clustering can significantly improve the total energy dissipation...
Connectivity is crucial feature of every network and assuring it, is fundamental for the network operation and efficiency. This work presents a connectivity evaluation algorithm based on graph theory methods, which can be used for simulation and analysis of the network regarding its connectivity in pre-deployment phase. For each network topology the following metrics can be computed: the number of...
In wireless sensor networks (WSNs), energy is dissipated mainly when sensors are communicating with sinks. As a result, multiple sinks are deployed in the network in order to increase its coverage area and shorten the communication distance between these two entities. This raises the issue of how best to bind sensors to sinks without overloading any sink. In this paper, we solve the sensor-to-sink...
Communication comprises the most power consuming operation that a sensor node performs. In this work we present a topology reduction algorithm and perform pre-deployment simulations of a senor network and analyze the initial topology for possibility of links reduction. The alternative link-reduced topologies are analyzed and compared against the initial topology regarding the overall number of links...
In this paper, we design a home outlet and a LED array lamp controlled by hand gesture recognition with a smartphone that has a system composed of two parts: a smartphone's application and a wireless remote control unit (WRCU). The application can read the accelerometer and gyroscope in a smartphone by means of hand gesture recognition and send a control command to the wireless remote control unit...
Wireless sensor network (WSN) is commonly used for localization analysis. Through sniffing receive signal strength indication (RSSI) in WSN system, localization of higher RSSI is connected automatically. This paper proposes the Raspberry-Pi (RasPi) based sensor node to sniffing RSSI and automatically connect the device to strongest RSSI. The RasPi brings the advantages of a personal computer (PC)...
In this paper, a 2.4 GHz CMOS low noise amplifier (LNA) for wireless sensor network (WSN) application using CMOS 0.13-µm Silterra technology is presented. The proposed design employed two-stage forward body bias technique with cascode configuration in order to obtain ultra-low power LNA design with high gain. The simulation results show that the total power consumed is only 0.49 mW at low supply voltage...
Predistribution schemes of cryptographic keys are recognized as appropriate solutions to secure communication in large-scale wireless sensor networks. Among various schemes, the seminal scheme proposed by Eschenauer and Gligor, and its extension introduced by Chan et al. have been widely studied in the literature. Yet, there is a lack of a formal analysis on how to control the parameters of the two...
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...
Recently, there has been growing interest in studies of heterogeneous random key graphs. In this paper, we consider a heterogeneous random key graph G (n, a, Kn, Pn) defined on a set Vn comprising n nodes, where a is a probability vector (a1, a2,…, am) and Kn is (K1, n, K2, n, …, Km, n). Suppose there is a pool Pn consisting of Pn distinct items. The n nodes in Vn are divided into m groups A1, A2,…,...
In this paper, we propose a novel energy harvesting (EH)-aware sensor selection policy. Our goal is to minimize the distortion in the reconstruction of the underlying source subject to the causality constraints imposed by the EH process at the sensor nodes. Besides, we determine the optimal power allocation for a given sensor selection (which admits a two-dimensional directional waterfilling interpretation)...
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...
Wireless Sensor Networks(WSNs) consists of hundreds of nodes which are of low power, low cost, and tiny devices. The main functionality of these nodes is to sense the environment and send the sensed data to the observer. In order to validate and get the significance of sensing data, location information of the sensor node needs to be combined with the sensed data. In addition to this, there are many...
Wireless Sensor and Actuator Networks (WSANs) are highly heterogeneous regarding hardware, software, and application requirements. Developing WSAN applications is a hard task, as it requires domain and network knowledge and there is a lack of methodologies, architectures, and patterns to help software developers with such task. Moreover, non-functional requirements play an essential role to ensure...
Wireless sensor networks are used in different application areas. Many applications require network sink mobility or monitored area borders dynamicity. A possible way to accomplish these requirements is development of platforms that enable the cooperation of ground with unmanned aerial vehicles to perform sensed data gathering. In case of sparse wireless sensor network nodes location unmanned aerial...
Scatter radio is a promising enabling technology for ultra-low power consumption and low monetary cost, largescale wireless sensor networks. The two most prominent scatter radio architectures, namely the monostatic and the bistatic, are compared. Comparison metrics include bit error probability under maximum-likelihood detection for the single-user case and outage probability for the multi-user case...
THESEUS is an energy-efficient routing system for Shared Sensor Networks (SSNs), with the primary goal of extending network lifetime. THESEUS has two features that distinguish it from other works found in the literature. First, it saves SSN nodes energy by using a packet aggregation algorithm, which reduces the number of transmissions. Second, THESEUS balances energy usage in the whole SSN by its...
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This paper proposes a group-based emergency guiding system for mobile users using smartphones, called Go FAST, which can model the spatiotemporal mobility of indoor people. A dedicated path can be determined to provide the shortest evacuation time for each group of nearby people. The Go FAST system considers the corridor capacities and lengths, exit capacities, concurrent motion, distribution of indoor...
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