S
S. Sitharama Iyengar
Researcher at Indian Institute of Technology Ropar
Publications - 794
Citations - 15356
S. Sitharama Iyengar is an academic researcher from Indian Institute of Technology Ropar. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 53, co-authored 776 publications receiving 13751 citations. Previous affiliations of S. Sitharama Iyengar include Jackson State University & Manipal Hospitals.
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Journal ArticleDOI
Social Internet of Things (SIoT): Foundations, thrust areas, systematic review and future directions
M. S. Roopa,Santosh Pattar,Rajkumar Buyya,K R Venugopal,S. Sitharama Iyengar,Lalit M. Patnaik +5 more
TL;DR: The fundamentals of SIoT are presented, thrust areas of it are identified (as service discovery and composition, network navigability, relationship management, and trustworthiness management) and several prerequisites, challenges and use case scenarios based on them are presented.
Proceedings ArticleDOI
Random asynchronous wakeup protocol for sensor networks
TL;DR: The improvement in system lifetime, due to RAW, increases as the ratio of idle-to-sleep energy consumption increases, and as the density of the network increases.
Journal ArticleDOI
Mindfulness-based stress reduction program in coronary heart disease: A randomized control trial.
TL;DR: The MBSR program is effective in reducing symptoms of anxiety and depression, perceived stress, BP and BMI in patients with CHD.
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Optimized broadcast protocol for sensor networks
TL;DR: This paper proposes an optimized broadcast protocol for sensor networks (BPS), its adaptive-geometric approach that enables considerable reduction of retransmissions by maximizing each hop length and shows that BPS is very scalable with respect to network density.
Journal ArticleDOI
Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks
TL;DR: A game-theoretic model of reliable, length and energy-constrained, sensor-centric information routing in sensor networks, and metrics called path weakness are developed to measure the qualitative performance of different routing schemes and theoretical limits on the inapproximability of computing paths with bounded weakness are provided.