Multiobjective, trust-aware, artificial hummingbird algorithm-based secure clustering and routing with mobile sink for wireless sensor networks

Abstract

Wireless sensor networks (WSNs) are composed of numerous nodes distrib-uted in geographical regions. Security and energy efficiency are challenging tasks due to an open environment and a restricted battery source. The multi-objective trust-aware artificial hummingbird algorithm (M-TAAHA) is pro-posed to achieve secure and reliable transmission over a WSN with a mobile sink (MS). The M-TAAHA selects secure cluster head (SCH) nodes based on trust, energy, interspace between sensors, interspace between SCH and MS, and the CH balancing factor. A secure route is found by M-TAAHA with trust, energy, and interspace between SCH and MS. The M-TAAHA avoids the mali-cious nodes to improve data delivery and avoid unwanted energy consump-tion. The M-TAAHA is analyzed using energy consumption, alive nodes, life expectancy, delay, data packets received in MS, throughput, packet delivery ratio, and packet loss ratio. Existing techniques (LEACH-TM, EATMR, FAL, Taylor-spotted hyena optimization [Taylor-SHO], TBEBR, and TEDG) are used for comparison with the M-TAAHA. Findings show that the energy consump-tion of the proposed M-TAAHA for 1000 rounds is 0.56 J (1.78 􀀀 smaller than that of the Taylor-SHO).

Keywords

• energy efficiency
• life expectancy
• multiobjective trust-aware artificial hummingbird algorithm
• security
• throughput
• wireless sensor networks