P
Prasanna Shete
Researcher at K. J. Somaiya College of Engineering
Publications - 18
Citations - 56
Prasanna Shete is an academic researcher from K. J. Somaiya College of Engineering. The author has contributed to research in topics: Ad hoc On-Demand Distance Vector Routing & Routing protocol. The author has an hindex of 4, co-authored 18 publications receiving 49 citations.
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Proceedings ArticleDOI
Enhanced UI Automator Viewer with improved Android accessibility evaluation features
TL;DR: In this paper, the authors presented an enhancement of UI Automator Viewer for evaluation of applications accessibility in Android environment, which can identify accessibility issues of user interfaces of Android applications and assist developers to create accessible user interfaces.
Proceedings ArticleDOI
RSS-GossipAODV: Received Signal Strength based Gossip Flooding Mechanism for AODV
Prasanna Shete,R. N. Awale +1 more
TL;DR: Experimental results show that RSS based gossip with probability p=0.66 reduces the RREQ rebroadcast by 15%, without adversely affecting the network performance in terms of connectivity, throughput and PDR, or end-to-end delay.
Proceedings ArticleDOI
Channel quality based Adaptive Gossip Flooding mechanism for AODV
Prasanna Shete,R. N. Awale +1 more
TL;DR: Simulation results show that CQAG-AODV significantly curtails the link breakages with reduced RREQ forwarding overhead compared to conventional AODV and thus takes care of “broadcast storm” problem.
Journal ArticleDOI
Impact of Hello Interval on Performance of AODV Protocol
TL;DR: The experimental results show that the performance of AODV is improved when hello interval is increased, and the performance is analyzed in terms of Quality of Service parameters such as throughput, End-to-end Delay and PDR.
Journal ArticleDOI
Routing Protocols for Multi-hop Ad Hoc Networks: Operational Challenges and Design Optimizations
Prasanna Shete,R. N. Awale +1 more
TL;DR: Limits and operational challenges of widely adopted reactive protocols are highlighted and different optimization approaches suggested to overcome these challenges are surveyed.