Ant Colony-Based Reinforcement Learning Algorithm for Routing in Wireless Sensor Networks

GhasemAghaei, R.; Rahman, Abdur; Gueaieb, Wail; Saddik, Abdulmotaleb El

doi:10.1109/imtc.2007.379173

Cited by 64 publications

(20 citation statements)

References 14 publications

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“…and IAR) [34][35] Adaptive Routing (AR) and Improved Adaptive Routing (IAR), proposed by Ghasemaghaei et. al (2007) uses probability distribution like other Ant-Colony based routing protocols in finding optimal paths from source to destination.…”

Section: F Ant Colony Based Reinforcement Learning Algorithm (Armentioning

confidence: 99%

Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey

Nayyar¹,

Singh²

2017

ijacsa

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Section: F Ant Colony Based Reinforcement Learning Algorithm (Armentioning

confidence: 99%

Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey

Nayyar¹,

Singh²

2017

ijacsa

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“…Here every node has the knowledge of its location and destination . To find the best next hop to reach its destination ant-routing algorithm is discussed in detail in [36].…”

Section: Bio Inspired Routingmentioning

confidence: 99%

Wireless Sensor Network Routing Protocols: A Survey

Khurana¹,

Aulakh²

2013

IJCA

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Advancements in wireless sensor networks (WSN) over the past two decades has foreseen an increased interest in the potential use in applications like combat field, security surveillance, border protection, disaster management and reconnaissance. Moreover, researchers have termed the 21st century as the "Sensor Decade" [3]. Sensor nodes are remotely deployed in large numbers and expected to operate autonomously in harsh environments. Now-a-days routing protocols are being designed, where energy awareness is an essential designing issue. In this paper, survey on recent routing protocols for sensor networks along with their classification and approaches is done . Each routing protocol is described under the appropriate category followed by possible future research areas.

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“…Some of ant colony based routing protocols for WSNs are discussed in [20][21][22][23][24][25][26]. In [20] , the authors propose an ant colony based routing protocol called energy-efficient ant-based routing (EEABR) that finds optimal routing paths in terms of distance and energy between source nodes and sink nodes.…”

Section: Introductionmentioning

confidence: 99%

“…It also uses multipath approach to avoid congestions and in turns maximizes throughput and minimizes data loss. In [24] , the authors propose an improved adaptive routing (IAR) algorithm that optimizes energy consumption, latency, throughput, and packet survival rate. However, these ant colony based routing protocols mentioned above do not consider multimedia QoS requirements such as stringent delay, delay jitter, loss rate, link quality, and link reliability in addition to minimizing energy consumption.…”

Section: Introductionmentioning

confidence: 99%

On the Suitability of Using ANT Colony Optimization for Routing Multimedia Content over Wireless Sensor Networks

Al-Zurba¹,

Landolsi²,

Hassan³

et al. 2011

J GRAPH-HOC

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This paper studies the suitability of using a meta-heuristic ant colony technique in routing multimedia content over wireless sensor networks. The presented technique is both energy and QoS-aware. Ant colony algorithm is used to find the optimal routing path. Optimality is in the sense of minimizing energy consumption and increasing link quality and reliability. The proposed approach results in minimizing energy consumption and prolonging the lifetime of the network. Moreover, the optimal path has a high link quality and reliability which enhances video frame quality and ensures high probability of successful delivery of video frames. The importance given to energy consumption, link quality, and link reliability metrics can be varied depending on the multimedia application requirements.

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Ant Colony-Based Reinforcement Learning Algorithm for Routing in Wireless Sensor Networks

Cited by 64 publications

References 14 publications

Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey

Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey

Wireless Sensor Network Routing Protocols: A Survey

On the Suitability of Using ANT Colony Optimization for Routing Multimedia Content over Wireless Sensor Networks

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