NS2 Projects with Source Code | 100% Output Guaranteed

Menu

Category Archive: NS2 PROJECT CENTER

An Efficient I/O-Redirection-based Reconstruction Scheme for Erasure-Coded Storage Clusters

This paper addresses an I/O interference problem encountered in on-line reconstruction of erasure-coded storage clusters, where user I/Os compete with reconstruction I/Os for both disk and networkbandwidth. We propose a redirection scheme called ‘RAM-RS’ to minimize the I/O interference among user and reconstruction requests. RAM-RS redirects user read/writes targeted at failed nodes to an RS-coded RAM […]

Read more

Dynamic TDD Support in Macrocell-Assisted Small Cell Architecture

Dynamic allocation of subframes to uplink (UL) or downlink (DL) in time division duplex (TDD), termed `Dynamic TDD,’ has been studied by the 3rd Generation Partnership Project (3GPP) since the Long Term Evolution (LTE) Release 11 timeframe. At the same time, 3GPP is also standardizing macrocell-assisted small cell heterogeneous architectures for inclusion in LTE Release […]

Read more

Scalable SimRank join algorithm

Similarity join finds all pairs of objects (i, j) with similarity score s(i, j) greater than some specified threshold θ. This is a fundamental query problem in the database research community, and is used in many practical applications, such as duplicate detection, merge/purge, record linkage, object matching, and reference conciliation. In this paper, we propose […]

Read more

Droop-controlled inverter-based microgrids are robust to clock drifts

Clock drift in digital controllers is of great relevance in many applications. Since almost all real clocks exhibit drifts, this applies in particular to networks composed of several individual units, each of which being operated with its individual clock. In the present work, we investigate the effect of clock drifts in inverter-based microgrids. Via a suitable model […]

Read more

Finding Top k Most Influential Spatial Facilities over Uncertain Objects

Due to a variety of reasons including data randomness and incompleteness, noise, privacy, etc., uncertainty is inherent in many important applications, such as location-based services (LBS), sensornetwork monitoring and radio-frequency identification (RFID). Recently, considerable research efforts have been devoted into the field of uncertainty-aware spatial query processing such that the uncertainty of the data can be […]

Read more

Distributed Optimal Active Power Control of Multiple Generation Systems

A novel coordinated power controller design framework is proposed to optimize the active power output of multiple generators in a distributed network. Each bus in the distributed generation systems includes two function modules: a distributed economic dispatch module and a cooperative control module. By virtue of the distributed consensus theory, a distributed economic dispatch algorithm is […]

Read more

Power quality dependence on connected appliances in an Off-Grid system

Power quality is one of the most important subjects in the field of power engineering. Especially in the Off-Grid systems, isolated networks, the power quality (PQ) is highly observed aspect. The fundamental Off-Grid feature can be intended an ability to operate regardless external power system, operation with an equal balance of energy production and consumption and […]

Read more

A comparative study of Land Mobile Radio and LTE-based public safety communications

Enabling seamless and mission critical voice and data services is a key requirement for public safetynetworks during the emergency and natural disaster scenarios. The ability to save lives depends on the reliable and effective communication amongst the first responders and victims. Land Mobile Radio System (LMRS) is a legacy technology which has been used for public […]

Read more

Modeling of Ionospheric Time Delay Using Anisotropic IDW With Jackknife Technique

Transionospheric signals are affected due to the existence of anisotropic plasma in the ionosphere. The precise estimation of ionospheric time delay will play a major role in achieving better positional accuracy. For the first time, a novel model based on anisotropic inverse distance weighting with “Jackknife” technique is proposed, and its performance is evaluated in […]

Read more

Binarization With Boosting and Oversampling for Multiclass Classification

Using a set of binary classifiers to solve multiclass classification problems has been a popular approach over the years. The decision boundaries learnt by binary classifiers (also called base classifiers) are much simpler than those learnt by multiclass classifiers. This paper proposes a new classification framework, termed binarization with boosting and oversampling (BBO), for efficiently […]

Read more

NS2 PROJECTS TOPICS

Recent Posts

Categories

Research paper writer service