Method for Intelligent Routing Within Ad-Hoc Networks with Complex Topology

Strykhaliuk, Bohdan; Kolodiy, Roman; Faichuk, Valentyn

doi:10.1109/aiact.2019.8847864

Cited by 1 publication

(1 citation statement)

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“…To predict the behavior pattern of the network nodes, a method based on Q-learning was proposed in [ 27 ]. The authors in [ 28 ] suggested a genetic algorithm-based routing protocol for efficient routing. The unhealthy nodes were identified, and energy use and computational time were reduced.…”

Section: Methodsmentioning

confidence: 99%

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks

Dass,

Narayanan,

Ananthakrishnan

et al. 2023

Sensors

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Recently, research into Wireless Body-Area Sensor Networks (WBASN) or Wireless Body-Area Networks (WBAN) has gained much importance in medical applications, and now plays a significant role in patient monitoring. Among the various operations, routing is still recognized as a resource-intensive activity. As a result, designing an energy-efficient routing system for WBAN is critical. The existing routing algorithms focus more on energy efficiency than security. However, security attacks will lead to more energy consumption, which will reduce overall network performance. To handle the issues of reliability, energy efficiency, and security in WBAN, a new cluster-based secure routing protocol called the Secure Optimal Path-Routing (SOPR) protocol has been proposed in this paper. This proposed algorithm provides security by identifying and avoiding black-hole attacks on one side, and by sending data packets in encrypted form on the other side to strengthen communication security in WBANs. The main advantages of implementing the proposed protocol include improved overall network performance by increasing the packet-delivery ratio and reducing attack-detection overheads, detection time, energy consumption, and delay.

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Section: Methodsmentioning

confidence: 99%