In this paper, we consider the second-order globally nonlinear consensus in a multiagent network with general directed topology and random interconnection failure by characterizing the behavior of stochastic dynamical system with the corresponding time-averaged system. A criterion for the second-order consensus is derived by constructing a Lyapunov function for the time-averaged network. By associating the…
Omnet++ Simulator
A comprehensive survey of routing protocols in wireless sensor networks
A wireless sensor network is composed of multifunctional sensor nodes scattered in sensing fields. Wireless sensor networks (WSNs) are widely used in applications like Military, Environmental monitoring, Health (Scanning), Space Exploration, Smart homes, Mechanical stress levels of attached objects, disaster management etc. [30] The transmission of information is a tedious task in WSN due to…
A Novel Computational Model for Non-linear Divisible Loads on a Linear Network
This work investigates the problem of a non-linear divisible load distribution on a homogeneous linear network. A novel computational model of non-linear loads that includes complete steps for processing them, is proposed. This model solves the problem of the classical model, whose performance degrades by separating the load. This work also presents an algorithm S…
ANC-ERA: Random Access for Analog Network Coding in Wireless Networks
Analog network coding (ANC) is effective in improving spectrum efficiency. To coordinate ANC among multiple nodes without relying on complicated scheduling algorithm and network optimization, a new random access MAC protocol, called ANC-ERA, is developed to dynamically form ANC-cooperation groups in an ad hoc network. ANC-ERA includes several key mechanisms to maintain high performance in…
Predictable Dynamics of Opinion Forming for Networks With Antagonistic Interactions
For communities of agents which are not necessarily cooperating, distributed processes of opinion forming are naturally represented by signed graphs, with positive edges representing friendly and cooperative interactions and negative edges the corresponding antagonistic counterpart. Unlike for nonnegative graphs, the outcome of a dynamical system evolving on a signed graph is not obvious and it…
Fault tolerance in Dynamic Cluster-Based Wireless Sensor Networks
Researches on Wireless Sensor Networks (WSNs) have been increased tremendously in the recent years. Cluster-based Wireless Sensor Network out performs flat network in terms of data routing, energy dissipation, data load balancing, etc. A self organized cluster-based sensor network that has the cluster management mechanisms for new nodes joining and existing nodes leaving, is defined…
Structural balance and opinion separation in trust–mistrust social networks
Structural balance theory has been developed in sociology and psychology to explain how interacting agents, e.g., countries, political parties, opinionated individuals, with mixed trust and mistrust relationships evolve into polarized camps. Recent results have shown that structural balance is necessary for polarization in networks with fixed, strongly connected neighbor relationships when the opinion dynamics are…
Spectrum Monitoring Using Energy Ratio Algorithm for OFDM-Based Cognitive Radio Networks
This paper presents a spectrum monitoring algorithm for Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radios by which the primary user reappearance can be detected during the secondary user transmission. The proposed technique reduces the frequency with which spectrum sensing must be performed and greatly decreases the elapsed time between the start of a primary…
Data-oriented malleable reservation to revitalize spectrum fragments in elastic optical networks
This paper investigates malleable reservation (MR) for data-oriented requests to revitalize spectrum fragments in elastic optical networks. We formulate a mixed integer linear programming model and propose a time-efficient heuristic to solve the MR problem.
Global Exponential Stability for Discrete-Time Networks With Applications to Traffic Networks
This paper provides sufficient conditions for global asymptotic stability and global exponential stability, which can be applied to nonlinear, large-scale, uncertain discrete-time networks. The conditions are derived by means of vector Lyapunov functions. The obtained results are applied to traffic networks for the derivation of sufficient conditions for global exponential stability of the uncongested equilibrium…