Among techniques designated for indoor localization, wireless fingerprinting is the most emerging because of the widespread deployment of wireless networks. Moreover, positioning methods based on received signal strength indicator fingerprint are attractive for their accuracy and independence from the radio propagation model. This paper describes an implementation of Bluetooth Low Energy positi...

Wireless communication receivers work with radio frequency (RF) input signals with a huge dynamic range of 50dB and more. In order to provide the analog-to-digital converters (ADCs) in the receivers with an optimal signal strength, the gains of the RF and IF (intermediate frequency) stages have to be tuned according to the strength of the RF input signal. The RF input signal strength can be est...

With the advent of powerful and efficient wireless sensor nodes, the usage of wireless sensor networks (WSNs) has been greatly increased. However, various kinds of security breaches have also been introduced, which exposes the vulnerability of these nodes to defend the valuable data from some specific types of attacks. In this paper, we address node replication, replacement, and man-in-the-midd...

Sensor localization has become an essential requirement for many applications over wireless sensor networks. Radio irregularity and stringent constraints on hardware cost and battery power, however, make localization very challenging. Range-based localization depends on special-purpose hardware for direct measurement of the distance to reference points. Range-free localization, in contrast, doe...

Evil-twin is a common attack in WIFI environments, with which an attacker can set up a fake AP to steal sensitive information from the connected devices. The current approaches of detecting Evil-twin AP use some identities or fingerprints (such as SSIDs, MAC address and network traffic patterns) to verify the identify of the AP. However, such information can be easily obtained and faked by the ...

This article aims to identify an adequate mathematical model to predict battery power depletion at the nodes of a Wireless Sensor Network (WSN), by analyzing the Received Signal Strength Indicator (RSSI). Six general models were tested, the simplest Average model, Linear Regression model, Autoregressive (AR) models and Autoregressive Moving Average (ARMA) models.The selected model (AR) presente...

Wireless sensor networks attracting a great deal of research interest. Accurate localization of sensor nodes is a strong requirement in a wide area of applications. In recent years, several techniques have been proposed for localization in wireless sensor networks. In this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...