A Depth‐Ordered Forwarding Game With Niche‐Confined Evolutionary Recovery for Energy‐Efficient Underwater Wireless Sensor Networks

Citation

Almohamedh, Refan and Roberts, Michaelraj Kingston and Wong, Wai Kit and Ng, Poh Kiat and Dahan, Fadl and Aloqaily, Mohammed (2026) A Depth‐Ordered Forwarding Game With Niche‐Confined Evolutionary Recovery for Energy‐Efficient Underwater Wireless Sensor Networks. International Journal of Intelligent Systems, 2026 (1). ISSN 0884-8173

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Abstract

Underwater wireless sensor networks operate under scarce acoustic bandwidth, long propagation delay, depth-dependent attenuation, and a fixed energy budget that is rarely replenished. We propose the Hawk–Dove Game Optimization Algorithm with Elite Niche Clone Evolutionary Computing (HDGOA-ENCEC), a routing protocol that couples a depth-ordered forwarding game, inspired by Hawk–Dove interactions, with an elite niche-confined cloning mechanism for localized recovery. A single behavioral index compresses residual energy, data priority, and congestion into one adaptive scalar; an event-driven rule updates a node only when its standardized payoff deviates from the neighborhood mean; and recovery is restricted to depth niches, so a failed region is repaired locally rather than through network-wide re-optimization. We formulate the forwarding-game payoff matrix, derive the condition under which cooperation becomes the strict best response, and obtain a Lyapunov-drift bound for regional queue stability while the energy state remains bounded by the battery and its reserve threshold. Across NS-3.35 simulations using the AquaSim-NG channel and Bellhop-derived transmission loss, under varied loads, densities, mobilities, and three failure models, the lifetime energy per delivered bit remains near 13–18 mJ/bit, which is 8%–12% lower than the strongest baseline and 22%–28% lower than RCRP in deep layers. Under depth-correlated failure, packet delivery remains 10–16 percentage points above nonrecovery baselines. The results show that the main advantage of HDGOA-ENCEC lies in resilience and energy-normalized delivery rather than raw throughput.

Item Type: Article
Uncontrolled Keywords: depth-ordered forwarding game, energy-efcient routing, evolutionary computing, fault recovery, underwater wireless sensor networks
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 31 Jul 2026 04:58
Last Modified: 31 Jul 2026 04:58
URII: http://shdl.mmu.edu.my/id/eprint/16390

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