In this paper, we propose a distributed gradient algorithm for received signal strength based
target localization using only quantized data. The Maximum Likelihood of the Quantized …

This paper proposes a distributed DOA estimation technique using clustering of sensor
nodes and distributed PSO algorithm. The sensor nodes are suited by clustered to act as …

Distributed direction of arrival (DOA) estimation based on maximum likelihood (ML) is an
energy-efficient source localization technique that is vital to systems such as wireless sensor …

Bearing estimation is a well-studied problem and maximum likelihood (ML) estimation
provides the best solution in terms of performance. The difficulty with ML is the multi-modal …

The performance of the existing direction of arrival (DOA) estimation algorithms for source
localization in the wireless sensor networks (WSN) degrades when the sources are …

Abstract Communication in Wireless Sensor Networks (WSN) by its environment further
disposed to danger attacks and it harms data. Secured information or maintain data …

Direction of arrival (DOA) estimation is one of the challenging problem in wireless sensor
networks. Several methods based on maximum likelihood (ML) criteria have been …

Localization in wireless sensor network is attracting many researchers because of its
significance in many real-time applications to identify the origin of events. Many applications …

Passive source localization of sources in Fresnel region (near-field) of the antenna array
involves joint estimation of its direction-of-arrival (DOA) and range. This paper proposes a …

Abstract Wireless Sensor Networks (WSNs) are by its nature more prone to security attacks
and data losses. Security and data privacy have become need of the day. The most …