S
Saurabh Ganeriwal
Researcher at University of California, Los Angeles
Publications - 41
Citations - 7313
Saurabh Ganeriwal is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 20, co-authored 41 publications receiving 7119 citations.
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Proceedings ArticleDOI
Timing-sync protocol for sensor networks
TL;DR: It is argued that TPSN roughly gives a 2x better performance as compared to Reference Broadcast Synchronization (RBS) and verify this by implementing RBS on motes and use simulations to verify its accuracy over large-scale networks.
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Reputation-based framework for high integrity sensor networks
TL;DR: A Bayesian formulation, specifically a beta reputation system, is employed for the algorithm steps of reputation representation, updates, integration and trust evolution in sensor networks to allow the sensor nodes to develop a community of trust.
Proceedings ArticleDOI
Reputation-based framework for high integrity sensor networks
TL;DR: This work argues that the conventional view of security based on cryptography alone is not sufficient for the unique characteristics and novel misbehaviors encountered in sensor networks, and proposes a reputation-based framework for sensor networks where nodes maintain reputation for other nodes and use it to evaluate their trustworthiness.
Journal ArticleDOI
Optimizing sensor networks in the energy-latency-density design space
TL;DR: This work proposes a new technique, called sparse topology and energy management (STEM), which efficiently wakes up nodes from a deep sleep state without the need for an ultra low-power radio, and shows that this scheme results in energy savings of over two orders of magnitude compared to sensor networks without topology management.
Journal ArticleDOI
Emerging techniques for long lived wireless sensor networks
TL;DR: Recent advances in energy-aware platforms for information processing and communication protocols for sensor collaboration are described and emerging, hitherto largely unexplored techniques, such as the use of environmental energy harvesting and the optimization of the energy consumed during sensing are looked at.