A hierarchical decentralized network reconfiguration approach to minimize power losses for smart distribution systems was presented in Part I. In this paper, the proposed approach is applied to four test distribution systems to examine its performance. A demonstration system consisting of the test system and distributed intelligent agents is built using MATLAB/Simulink to illustrate how…
Category: B.TECH PROJECT IN OMNET
Optimal Configuration of Network Coding in Ad Hoc Networks
In this paper, we analyze the impact of network coding (NC) configuration on the performance of ad hoc networks with the consideration of two significant factors, namely, the throughput loss and the decoding loss, which are jointly treated as the overhead of NC. In particular, physical-layer NC and random linear NC are adopted in static…
Spectrum Sensing of Interleaved SC-FDMA Signals in Cognitive Radio Networks
This paper develops a spectrum sensing technique for interleaved single-carrier frequency-division multiple access (SC-FDMA) systems. By designing a metric that exploits cyclostationary features of interleaved SC-FDMA signals, we establish a framework for signal detection. Using Gaussian approximation for this metric, the parameters of the metric distributions under two hypotheses are derived, and both hypotheses are…
Kalman Filter Based Microgrid State Estimation Using the Internet of Things Communication Network
Recently, the smart grid is expected to modernize the current electricity grid by commencing a new set of technologies and services that make the electricity networks secure, automated controlled, cooperative and sustainable. Consequently, the smart control centre feels the requirement of a robust and scalable technique for state estimation (SE) that allows continuous and accurate…
Energy and Spectrum Efficient Parameter Estimation in Wireless Body Sensor Networks
In this letter we consider the problem of linear distributed estimation (DES) of a random parameter in a wireless body sensor network (BSN). We propose a novel architecture, and an associated optimization model, for DES in BSNs that is based on the deployment of a body-coupled communication (BCC) network that allows the nodes to communicate…
Cost Optimal Placement and Backhauling of Small-Cell Networks
The deployment of small cells has been identified as one of the future-proof solutions to cope with the increasing demand for higher data rate and ubiquitous access in mobile networks. However, providing a reliable and cost-effective backhaul connectivity for small cells has become a key challenge. It is identified that the cost efficiency of small-cell…
Implementation of network intrusion detection system using variant of decision tree algorithm
As the need of internet is increasing day by day, the significance of security is also increasing. The enormous usage of internet has greatly affected the security of the system. Hackers do monitor the system minutely or keenly, therefore the security of the network is under observation. A conventional intrusion detection technology indicates more limitation…
Detecting packet dropping nodes using machine learning techniques in Mobile ad-hoc network: A survey
Mobile ad-hoc networks have to suffer with different types of packet dropping attacks. Therefore, we need strong mechanism to detect these malevolent nodes and to classify normal and abnormal nodes as per the behavior of nodes. Machine learning techniques distinguish outlier nodes quickly and accurately provide classification by observing behavior of those nodes in the…
A novel performability assessment approach of Mobile Ad Hoc Network
In Mobile Ad hoc Networks (MANETs), system performance degrades when some switching nodes and/or communication links fail to operate. As a result, the performability (performance reliability) assessment of MANETs is very important. However, because of the impact of dynamic topology, the traditional system performability analysis methods, such as Dynamic Fault Tree (DFT) and Dynamic Reliability…
Transmission network expansion planning considering uncertainties in loads and renewable energy resources
This paper proposes a novel method for transmission network expansion planning (TNEP) that take into account uncertainties in loads and renewable energy resources. The goal of TNEP is to minimize the expansion cost of candidate lines without any load curtailment. A robust linear optimization algorithm is adopted to minimize the load curtailment with uncertainties considered…