Faculty Publications

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    Improved network survivability using multi-threshold adaptive range clustering (M-TRAC) algorithm for energy balancing in wireless sensor networks
    (2013) Shivaprakasha, K.S.; Kulkarni, M.; Joshi, N.
    Wireless Sensor Networks (WSNs) have become one of the most prominent areas of research in the field of modern communication systems. But unlike IP based routing, WSNs focus on data centric communication. Thus routing is one of the important issues to be considered for a WSN. As sensor networks are generally deployed in hostile environments, batteries cannot be recharged often. Thus energy conservation is one of the important design parameters for WSNs. Many energy aware routing protocols were proposed in the literature. Cluster based algorithms were proved to be better compared to multi-hop routing. In this paper an attempt is made in proposing a novel cluster based energy efficient routing algorithm for WSNs namely the Multi-Threshold Adaptive Range Clustering (M-TRAC) algorithm, which incorporates centralized network management with variable thresholds in order to assure a uniform load distribution amongst nodes, thus improving the network lifetime. © 2013 - IOS Press and the authors. All rights reserved.
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    Energy-efficient and reliable data collection in wireless sensor networks
    (Turkiye Klinikleri Journal of Medical Sciences Talapapa Bulvary no. 102 Hamammonu 1 06230, 2018) Puneeth, D.; Joshi, N.; Atrey, P.K.; Kulkarni, M.
    Ensuring energy efficiency, data reliability, and security is important in wireless sensor networks (WSNs). A combination of variants from the cryptographic secret sharing technique and the disjoint multipath routing scheme is an effective strategy to address these requirements. Although Shamir's secret sharing (SSS) provides the desired reliability and information-theoretic security, it is not energy efficient. Alternatively, Shamir's ramp secret sharing (SRSS) provides energy efficiency and data reliability, but is only computationally secure. We argue that both these approaches may suffer from a compromised node (CN) attack when a minimum number of nodes is compromised. Hence, we propose a new scheme that is energy efficient, provides data reliability, and is secure against CN attacks. The core idea of our scheme is to combine SRSS and a round-reduced AES cipher, which we call "split hop AES (SHAES)". Both the simulation results and the theoretical analysis are employed to validate the near-sink CN attack, and a secure reliable scheme using SHAES is proposed. © 2018 TÜBITAK.