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A secure and energy-efficient cluster-based data collection scheme using mobile sink in wireless sensor networks

computer-networks-and-communications
mobile-and-ubiquitous-computing
optimization-theory-and-computation
security-and-privacy

Abstract

Security, energy usage, and data collection are important issues in wireless sensor networks (WSNs), where protecting aggregated data is vital for minimizing the consumption of energy and alleviating potential threats. This paper presents a secure and energy-efficient cluster-based data collection scheme (S-EMSDC) for WSNs employing a mobile sink. The proposed scheme consists of two layers: the first, implemented at the base station, manages cluster formation, cluster head rotation scheduling, optimisation of mobile sink rendezvous points, and TDMA-based transmission scheduling; the second layer fortifies security via AES-256 identity authentication and HMAC-SHA256 integrity verification, obviating explicit key exchange, preventing unauthorised access, and rejecting tampered data before aggregation. Simulation results demonstrate that S-EMSDC extends network lifetime by up to 74% compared to baseline methods. Furthermore, the scheme achieves near-zero successful forgery rates across varying node densities and identifier lengths, highlighting its resilience against identity-based attacks.
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