R
Rahul C. Shah
Researcher at Intel
Publications - 69
Citations - 6009
Rahul C. Shah is an academic researcher from Intel. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 26, co-authored 68 publications receiving 5887 citations. Previous affiliations of Rahul C. Shah include University of California, Berkeley & Durham University.
Papers
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Proceedings ArticleDOI
Energy aware routing for low energy ad hoc sensor networks
Rahul C. Shah,Jan M. Rabaey +1 more
TL;DR: This paper takes the view that always using lowest energy paths may not be optimal from the point of view of network lifetime and long-term connectivity and proposes a new scheme called energy aware routing that uses sub-optimal paths occasionally to provide substantial gains.
Proceedings ArticleDOI
Data MULEs: modeling a three-tier architecture for sparse sensor networks
TL;DR: This paper presents and analyzes an architecture to collect sensor data in sparse sensor networks that exploits the presence of mobile entities present in the environment and incorporates key system variables such as number of MULEs, sensors and access points.
Journal ArticleDOI
Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks
TL;DR: A three-tier architecture for collecting sensor data in sparse sensor networks that exploits the presence of mobile entities present in the environment and incorporates key system variables such as number of MULEs, sensors and access points is presented.
Journal ArticleDOI
Exploiting mobility for energy efficient data collection in wireless sensor networks
TL;DR: An analytical model is presented to understand the key performance metrics such as data transfer, latency to the destination, and power and shows that this approach can provide substantial savings in energy as compared to the traditional ad-hoc network approach.
Proceedings ArticleDOI
Data funneling: routing with aggregation and compression for wireless sensor networks
TL;DR: The proposed routing algorithm, called Data Funneling, allows the network to considerably reduce the amount of energy spent on communication setup and control, an important concern in low data-rate communication.