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V. C. Patil

Publications -  8
Citations -  116

V. C. Patil is an academic researcher. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 5, co-authored 7 publications receiving 109 citations.

Papers
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Proceedings ArticleDOI

Classification and Comparison of Routing Techniques in Wireless Ad Hoc Networks

TL;DR: A comprehensive review for routing features and techniques in wireless ad hoc networks for more than a dozen typical existing routing protocols is presented, comparing their properties according to different criteria, and categorize them according to their routing strategies and relationships.
Journal ArticleDOI

Eagilla: An Enhanced Mobile Agent Middleware for Wireless Sensor Networks

TL;DR: Eagilla model comes up with a hybrid multi-layered architecture to reduce the complexity and to support interoperability, heterogeneity in WSN.
Proceedings ArticleDOI

A Survey on Middleware Challenges and Approaches for Wireless Sensor Networks

TL;DR: This paper surveys the work state of research in middleware design, development and general issues in designing a middleware for WSN, and examines the various approaches of middleWare design, the trends and challenges to be addressed when designing and developing these solutions.
Proceedings ArticleDOI

A survey on mobile-agent middleware design principals and itinerary planning algorithms

TL;DR: This work investigates the various approaches of middleware design and number of conventional single MA itinerary planning based schemes, the order of sensory data source nodes to be visited during the MA migration, which has a significant impact on the performance of the MA systems and its effectiveness.
Journal ArticleDOI

OMMIP: An optimized multiple mobile agents itinerary planning for wireless sensor networks

TL;DR: This proposal optimized the algorithm that based on iteratively partition in a directional sector zone, where the node will include in the method, and obtained the near optimal route by the Genetic algorithm schema.