Resilient State Management in Large Scale Networks

LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring

Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...

Resilient Supplier Selection in a Supply Chain by a New Interval-Valued Fuzzy Group Decision Model Based on Possibilistic Statistical Concepts

Supplier selection is one the main concern in the context of supply chain networks by considering their global and competitive features. Resilient supplier selection as generally new idea has not been addressed properly in the literature under uncertain conditions. Therefore, in this paper, a new multi-criteria group decision-making (MCGDM) model is introduced with interval-valued fuzzy sets (I...

Towards a Resilient Operating System for Wireless Sensor Networks

Active research has recently been conducted on large scale wireless sensor networks, especially network management and maintenance, but the technique for managing application errors on MMU-less sensor node devices has not been seriously considered. This paper presents a resilient operating system mechanism for wireless sensor networks. The proposed mechanism separates the kernel from the user e...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.

A Multiagent Reinforcement Learning algorithm to solve the Community Detection Problem

Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...