Sensor networks have become a widely used technology for applications ranging from
military surveillance to industrial fault detection. So far, the evolution in micro-electronics has …

In recent years sensor networks have interested fields such as environment monitoring,
surveillance and other distributed extraction data applications. This interest has been based …

Since many range-free localization algorithms depend on only a few anchors and implicit
range estimations, they produce poor results. In this article, we propose a distributed range …

Localization arises repeatedly in many location-aware applications such as navigation,
autonomous robotic movement, and asset tracking. Analytical localization methods include …

The Kalman filter (KF) is an optimal state estimator for position observation systems with
noise; therefore, it is typically used to estimate the location of a node in a wireless sensor …

Wireless sensor network localization is an essential problem that has attracted increasing
attention due to wide demands such as in-door navigation, autonomous vehicle, intrusion …

The source localization among the nodes are important to study the traffic condition in the
Wireless sensor networks (WSNs). Regaining the performance of locations or defining the …

The range-based MDS-MAP (multidimensional scaling-MAP) localization algorithm has
been widely applied to the estimation of node position in wireless sensor networks (WSNs) …

The recent years WSNs have had a tremendous growth in interest. Many see the huge
potential in this technology and the vast possibilities with small wireless autonomous nodes …

A novel distributed range‐free localisation algorithm to accurately locate regular nodes in
wireless sensor networks is presented. Existing methods reduce the possible area where a …