Category Archive: 'M.TECH OMNET++ PROJECT'

Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling

This paper is concerned with the global robust synchronization of multiple memristive neural networks (MMNNs) with nonidentical uncertain parameters. A coupling scheme is introduced, in a general topological structure described by a direct or undirect graph, with a linear diffusive term and a discontinuous sign term. First, a set of sufficient conditions are derived based […]

Infinite Impulse Response Graph Filters in Wireless Sensor Networks

Many signal processing problems in wireless sensor networks can be solved by graph filtering techniques. Finite impulse response (FIR) graph filters (GFs) have received more attention in the literature because they enable distributed computation by the sensors. However, FIR GFs are limited in their ability to represent the global information of the network. This letter […]

Countermeasure for Reinforcement Swap Attack against Directed Diffusion in Wireless Sensor Networks

Directed Diffusion is a data centric protocol that focuses on the energy efficiency of the networks. It is interest based routing protocol in which communication occur hop-to-hop rather than end-to-end in wireless sensor networks. Hop-to-hop communication provides link diversity which helps to overcome obstacles like failure of intermediate node on communication path. Directed Diffusion protocol […]

Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators

In the recent years, inexact computing has been increasingly regarded as one of the most promising approaches for slashing energy consumption in many applications that can tolerate a certain degree of inaccuracy. Driven by the principle of trading tolerable amounts of application accuracy in return for significant resource savings–the energy consumed, the (critical path) delay […]

Sparsity Enhanced Mismatch Model for Robust Intercell Interference Management in Heterogeneous Networks with Doubly-Selective Fading Channels

Transmission over doubly-selective fading (DSF) interference channel often relies on the use of robust precoder due to a lack of accurate channel state information, with performance often depending on the conservativeness of the mismatch model. Previously proposed mismatch models either have been deemed too conservative (deterministic models) or are prone to error due to inaccuracy […]

Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network

Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor could destabilize the system, which could have serious consequences to the system’s operations. Therefore, there is a need to detect and accommodate such failures, particularly if the system in question is of a safety critical application. In this paper, a […]

Effective Key Management in Dynamic Wireless Sensor Networks

Recently, wireless sensor networks (WSNs) have been deployed for a wide variety of applications, including military sensing and tracking, patient status monitoring, traffic flow monitoring, where sensory devices often move between different locations. Securing data and communications requires suitable encryption key protocols. In this paper, we propose a certificateless-effective key management (CL-EKM) protocol for secure […]

Max Contribution: An Online Approximation of Optimal Resource Allocation in Delay Tolerant Networks

In this paper, a joint optimization of link scheduling, routing and replication for delay-tolerant networks (DTNs) has been studied. The optimization problems for resource allocation in DTNs are typically solved using dynamic programming which requires knowledge of future events such as meeting schedules and durations. This paper defines a new notion of approximation to the […]

Design of an automotive safety system using Controller Area Network

Most of the people are using vehicles which have become the most important part in our life for comfort transportation. In existing system the main snags are cost as well as the first one are glaring effect accidents due to opposite vehicle headlight illumination at night time driving. Second one is the short circuit fault […]

Robust Resource Optimization for Cooperative Cognitive Radio Networks with Imperfect CSI

We develop robust resource-allocation schemes for a cognitive radio network (CRN), where the secondary users (SUs) try to communicate with each other from different small cell primary user (PU) networks. User cooperation technique is considered for communication among the SUs since PUs are in close proximity and there are tight interference constraints on the PU […]