Sharad Saxena

Work place: Department of Computer Applications, BIT College, Meerut, U.P., India



Research Interests: Computer systems and computational processes, Systems Architecture, Distributed Computing, Data Structures and Algorithms


Sharad Saxena, did M. Tech. (Computer Science and Engineering) in 2009 from Shobhit University, Meerut, UP, India. He is pursuing Ph.D. in Computer Science and Engineering from Uttarakhand Technical University, Dehradun, UK, India. He has published 8 International Papers in the area of Ad-hoc and sensor networks in journal of repute. He has guided 2 M. Tech. Students in there dissertation work. His research interest includes Wireless Sensor Networks, Distributed Systems, and Mobile Computing, with a focus on Mobile Ad-Hoc Networks. Presently he is working as Assistant Professor in the department of Computer Application at Bharat Institute of Technology, Meerut, UP, India.

Author Articles
Clustering Based on Node Density in Heterogeneous Under-Water Sensor Network

By Sharad Saxena Shailendra Mishra Mayank Singh

DOI:, Pub. Date: 8 Jun. 2013

An underwater sensor network comprise of sensors and vehicles to perform numerous tasks. In underwater ad-hoc sensor network acoustic signals are transmitted through multi-hop sequence so as to save sensors’ energy and to achieve longer life time. Re-charging batteries of deep water deployed sensors is practically not feasible. Clustering is the best strategy to achieve efficient multi-hopping, where cluster head is made responsible to collect local data and forward it to the sink. Cluster-head selection is the challenging job in a cluster, as it loses its energy in transmitting its own data and aggregated data, as compared to other sensors. In this paper we have proposed an Under Water Density Based Clustered Sensor Network (UWDBCSN) scheme using heterogeneous sensors. The scheme utilizes two types of sensors: one having high energy capacity, working as cluster head, having small quantity and other are ordinary sensors in huge quantity. Further cluster-head selection is based on node degree i.e. the density of the sensors in a region. The proposed scheme is found to be more energy efficient helps in extending the life time of underwater sensor networks.

[...] Read more.
Impact of Cognitive and Emotional Intelligence on Quality Education

By Shilpi Saxena Sharad Saxena

DOI:, Pub. Date: 8 Oct. 2012

At present school and colleges are expanding very much quantitatively but less attention is being paid at the quality of education. In order to improve the quality of any course, the present study will be conducted, and this study is related to the improvement of the selection criterion of candidates by introducing the significance of testing emotional intelligence also. Till now the gold standard of selection the candidates for any course, has been cognitive intelligence tests. Previous researches had proved that emotional intelligence is much more important than cognitive intelligence. Then it should also be measured or tested. In other words if a student is cognitively intelligent, will he/she also be emotionally intelligent relatively or not. Is it different according to sex, locality etc. so in order to find out the difference between cognitive and emotional intelligence of students we have performed this study.

[...] Read more.
E-Learning and Its Impact on Rural Areas

By Rimmi Anand Sharad Saxena Shilpi Saxena

DOI:, Pub. Date: 8 May 2012

E-Learning is referred to as teaching and learning by using electronic media. This methodology supports the use of networking and communications technology in teaching and learning. E-Learning is generally meant for remote learning or distance learning, but can also be used in face-to-face mode. In this paper we have made study about the awareness and impact of E-Learning in selected rural areas in India, the providers and learners ratio and an analysis on the collected data has been made to find the advantages of E-Learning resources and their affect on social and mental development of the individuals belonging to rural areas.

[...] Read more.
Other Articles