The emerging technology of multisensor data fusion has a wide range of applications, both
in Department of Defense (DoD) areas and in the civilian arena. The techniques of …

The purpose of this book is to provide an introduction to the theories and techniques of multi-
sensor data fusion. The book has been designed as a text for a one-semester graduate …

This textbook provides a comprehensive introduction to the concepts and idea of
multisensor data fusion. It is an extensively revised second edition of the author's successful …

One of the main goals of sensor networks is to provide accurate information about a sensing
field for an extended period of time. This requires collecting measurements from as many …

Optimization problems are ubiquitous in academic research and real-world applications
such as in engineering, finance, and scientific areas. What coefficients of a neural network …

Abstract Wireless Sensor Networks (WSNs) are useful for a wide range of applications, from
different domains. Recently, new features and design trends have emerged in the WSN field …

We report on the ongoing development of a research framework for dynamic integration of
information from hard (electronic) and soft (human) sensors. We describe this framework …

Game theory provides a mathematical tool for the analysis of distributed decision making
interactions between agents with conflicting interests. We apply game theory for distributed …

In this paper, we propose a crowdsourcing-based framework for myopic target tracking by
designing an optimal incentive-compatible mechanism in a wireless sensor network (WSN) …

Differential evolution (DE) mutates solution vectors by the weighted difference of other
vectors using arithmetic operations. As these operations cannot be directly extended to …