most citedNormalization based K means Clustering Algorithm

23 citations · 60 across the 11 of their papers we have counts for

collaborators

13 papers

cs.LG201523 cited

Normalization based K means Clustering Algorithm

Deepali Virmani, Shweta Taneja, Geetika Malhotra

K-means is an effective clustering technique used to separate similar data into groups based on initial centroids of clusters. In this paper, Normalization based K-means clustering…

cs.IR2015

A Novel Framework for Intelligent Information Retrieval in Wireless Sensor Networks

Savneet Kaur, Deepali Virmani, Satbir Jain

Recent advances in the development of the low-cost, power-efficient embedded devices, coupled with the rising need for support of new information processing paradigms such as smart…

cs.NI20131 cited

Clustering Based Lifetime Maximizing Aggregation Tree for Wireless Sensor Networks

Deepali Virmani, Satbir Jain

Energy efficiency is the most important issue in all facets of wireless sensor networks (WSNs) operations because of the limited and non-replenish able energy supply. Data aggregat…

cs.NI20133 cited

An Efficient Hybrid Localization Technique in Wireless Sensor Networks

Deepali Virmani, Satbir Jain

Sensor nodes are low cost, low power devices that are used to collect physical data and monitor environmental conditions from remote locations. Wireless Sensor Networks(WSN) are co…

cs.NI20133 cited

Comparison of Proposed Data Dissemination Protocols for Sensor Networks Using J-Sim

Deepali Virmani, Satbir Jain

A distinguishing characteristic of wireless sensor networks is the opportunity to exploit characteristics of the application at lower layers. This paper reports on the results of a…

cs.NI201319 cited

Adaptive Energy Aware Data Aggregation Tree for Wireless Sensor Networks

Deepali Virmani, Tanu Sharma, Ritu Sharma

To meet the demands of wireless sensor networks (WSNs) where data are usually aggregated at a single source prior to transmitting to any distant user, there is a need to establish…