2014 - IEEE Fellow For contributions to computer networking applied to sensor networks
2011 - ACM Fellow For contributions to computer networking.
His primary areas of investigation include Wireless sensor network, Computer network, Distributed computing, Real-time computing and The Internet. His studies deal with areas such as Wireless, Scalability, Structural health monitoring, Key distribution in wireless sensor networks and Node as well as Wireless sensor network. His Scalability research includes elements of Sensor node, Energy, Computation and SIMPLE.
The study incorporates disciplines such as Dissemination and Robustness in addition to Computer network. His research integrates issues of Shortest path problem, Geographic routing, Network topology, Wireless network and Sensor fusion in his study of Distributed computing. His Real-time computing research is multidisciplinary, relying on both Program analysis, Embedded system, Assisted GPS, Global Positioning System and Condition monitoring.
Ramesh Govindan mostly deals with Computer network, Wireless sensor network, Distributed computing, Real-time computing and Wireless. His work in Computer network addresses issues such as The Internet, which are connected to fields such as Computer security. His Wireless sensor network research is multidisciplinary, incorporating elements of Routing, Scalability, Data mining, Structural health monitoring and Key distribution in wireless sensor networks.
His Distributed computing study combines topics from a wide range of disciplines, such as Node, Routing protocol and Router. As part of one scientific family, Ramesh Govindan deals mainly with the area of Real-time computing, narrowing it down to issues related to the Embedded system, and often Software. His Dynamic Source Routing research is multidisciplinary, incorporating perspectives in Link-state routing protocol, Static routing and Wireless Routing Protocol.
His scientific interests lie mostly in Computer network, Real-time computing, Artificial intelligence, Distributed computing and Data mining. Ramesh Govindan has researched Computer network in several fields, including Wireless network and The Internet. Ramesh Govindan studied Wireless network and Network planning and design that intersect with Scalability.
His Real-time computing research incorporates themes from Wireless, Software and Task. His study in Distributed computing is interdisciplinary in nature, drawing from both Satisfiability and Modulo. The Data retrieval research Ramesh Govindan does as part of his general Data mining study is frequently linked to other disciplines of science, such as Disaster response, therefore creating a link between diverse domains of science.
Real-time computing, Computer network, The Internet, Mobile device and Network packet are his primary areas of study. His studies deal with areas such as Controller, Software and Embedded system as well as Real-time computing. His study in Computer network concentrates on Mobile Web, Cellular network and Bandwidth.
His work in The Internet tackles topics such as Computer security which are related to areas like Pipeline, Server and Video quality. His research in Network packet intersects with topics in Range, Routing and Routing control plane. His study explores the link between Sketch and topics such as Software deployment that cross with problems in Wireless sensor network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Directed diffusion: a scalable and robust communication paradigm for sensor networks
Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin.
acm/ieee international conference on mobile computing and networking (2000)
Next century challenges: scalable coordination in sensor networks
Deborah Estrin;Ramesh Govindan;John Heidemann;Satish Kumar.
acm/ieee international conference on mobile computing and networking (1999)
Directed diffusion for wireless sensor networking
Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin;John Heidemann.
IEEE ACM Transactions on Networking (2003)
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
Deepak Ganesan;Ramesh Govindan;Scott Shenker;Deborah Estrin.
Mobile Computing and Communications Review (2001)
Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks
Yan Yu;Ramesh Govindan;Deborah Estrin.
Understanding packet delivery performance in dense wireless sensor networks
Jerry Zhao;R. Govindan.
international conference on embedded networked sensor systems (2003)
A wireless sensor network For structural monitoring
Ning Xu;Sumit Rangwala;Krishna Kant Chintalapudi;Deepak Ganesan.
international conference on embedded networked sensor systems (2004)
GHT: a geographic hash table for data-centric storage
Sylvia Ratnasamy;Brad Karp;Li Yin;Fang Yu.
international workshop on wireless sensor networks and applications (2002)
Heuristics for Internet map discovery
R. Govindan;H. Tangmunarunkit.
international conference on computer communications (2000)
Diversity in smartphone usage
Hossein Falaki;Ratul Mahajan;Srikanth Kandula;Dimitrios Lymberopoulos.
international conference on mobile systems, applications, and services (2010)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: