Maximum-Likelihood Sensor Node Localization Using Received Signal Strength in Multimedia With Multipath Characteristics

Emitter localization using received-strength-signal data

This paper considers a scenario in which signals from an emitter at an unknown location are received at a number of different collinear locations. The receiver can determine the received signal strength, but no other parameters of the signal. Postulating a log-normal transmission model with a constant but unknown path loss exponent and, also, an unknown transmit power and known noise variance, ...

Using received signal strength indicator to detect node replacement and replication attacks in wireless sensor networks

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...

Learning Indoor Localization using Radio Received Signal Strength

Accurate and simple source localization using differential received signal strength

Locating an unknown-position source using received signal strength (RSS) measurements in an accurate and low-complexity manner is addressed in this paper. Given that the source transmit power is unknown, we employ the differential RSS information to devise two computationally attractive localization methods based on the weighted least squares (WLS) approach. The main ingredients in the first al...

Sensor models and localization algorithms for sensor networks based on received signal strength

Received signal strength (RSS) can be used in sensor networks as a ranging measurement for positioning and localization applications. This contribution studies the realistic situation where neither the emitted power nor the power law decay exponent be assumed to be known. The application in mind is a rapidly deployed network consisting of a number of sensor nodes with low-bandwidth communicatio...