Shailendra Mishra

Work place: BCTKEC College, Dwarahat, Uttrakhand, India



Research Interests: Computer Architecture and Organization, Network Architecture, Network Security, Computing Platform


Shailendra Mishra, did his Ph.D in 2007 and Master of Engineering Degree (ME) in Computer Science & Engineering (Specialization: Software Engineering) from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India in 2000 . His recent research has been in the field of Mobile Computing & Communication and Advance Network Architecture. He has also been conducting research on Communication System & Computer Networks with Performance evaluation and design of Multiple Access Protocol for Mobile Communication Network. 

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.

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Analysis on Energy Optimized Data Collection in Tree Based Ad-Hoc Sensor Network

By Sharad Shailendra Mishra Ashok Kumar Sharma Durg Singh Chauhan

DOI:, Pub. Date: 8 Mar. 2012

Fast and energy efficient data collection in an energy constraint ad-hoc sensor network is always a challenging issue. The network topology and interferences causes significant effects on data collection and hence on sensors’ energy usage. Various approaches using single channel, multichannel and convergecasting had already been proposed. Here in this paper we have shown data collection performance using multi-frequency in channel assignment, and effect of network topology, for moderate size networks of about 50-100 nodes. For the study we have used some realistic simulation models under many-to-one communication paradigm called convergecast, a single frequency channel and TDMA technique to have minimum time slots for convergecasting.

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