Localized algorithms for information fusion in resource constrained networks

Detecting communities of workforces for the multi-skill resource-constrained project scheduling problem: A dandelion solution approach

This paper proposes a new mixed-integer model for the multi-skill resource-constrained project scheduling problem (MSRCPSP). The interactions between workers are represented as undirected networks. Therefore, for each required skill, an undirected network is formed which shows the relations of human resources. In this paper, community detection in networks is used to find the most compatible wo...

Localized sensor management for multi-target tracking in wireless sensor networks

For a multi-hop wireless sensor network, the limited sensing and communication resources give rise to distinct challenges to the task of tracking mobile targets, which is traditionally treated primarily from the data fusion perspective. This paper investigates the impact of sensor management on data fusion in a resource-limited network. A localized multi-sensor multi-target tracking framework i...

Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

Constrained Consumable Resource Allocation in Uncertain Project Networks with Fuzzy Activity Duration

A multi-objective resource-constrained optimization of time-cost trade-off problems in scheduling project

This paper presents a multi-objective resource-constrained project scheduling problem with positive and negative cash flows. The net present value (NPV) maximization and making span minimization are this study objectives. And since this problem is considered as complex optimization in NP-Hard context, we present a mathematical model for the given problem and solve three evolutionary algorithms;...