Ant star fuzzy routing for industrial wireless sensor network

Kannan, Muthukumaran; Selvakumar, C.; Krishnamoorthy, Chitra

doi:10.1109/ssps.2017.8071637

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…In a nutshell, the above works proposed multihop intelligent routing methods based on ACO algorithm and concentrated on searching for optimized path for data routing. The most of these protocols 11,[33][34][35][36][37]39,40 are based on flat topology, which is not optimized for data transmission and causes congestion, while the other protocols 13,38,41 are based on hierarchical topology to fix the issues of flat topology. Only the protocols 11,36,41 take into consideration the fault tolerance issue among the other protocols.…”

Section: Aco-based Routing Protocolsmentioning

confidence: 99%

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IACO‐ERP: An improved ACO‐based energy‐efficient routing protocol for fog‐based WSNs

Moussa

Hamidi‐Alaoui

Alaoui

2021

Int J Communication

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Summary Wireless Sensor Networks (WSNs) present numerous constraints, which motivate many researchers and which reside mainly in the fact that their resources are limited in terms of communication, calculations, and energy. In particular, the stress linked to energy is considered as a fundamental problem. Indeed, all the sensor elements need energy to function. Thus, controlling the energy consumption of a node remains a major problem for maximizing the lifetime of the network. The clustering and Ant Colony Optimization (ACO) algorithms have been seen as a good solution to route data while maintaining a better network lifetime. However, the existing state‐of‐the‐art cluster and ACO‐based routing protocols perform re‐clustering and fail to restrict the ant searching scope. This consumes a high amount of energy and makes the convergence speed slow. For these reasons, this paper presents an Improved ACO‐based Energy‐efficient Routing Protocol (IACO‐ERP) to mitigate the hot spot problem by proposing a multiple Fog Nodes (FNs)‐based energy‐efficient network model. IACO‐ERP avoids re‐clustering and rotates the Cluster Head (CH) role based on energy among cluster members without any need for control overhead, and also, it proposes to limit the scope of ant searching for optimal route toward the sink based on some specific parameters such as energy and distance, thus avoiding routing loop, slow convergence speed, and excessive energy consumption. The proposed routing protocol is evaluated against some recent and relevant existing solutions. The simulations results reveal that IACO‐ERP provides significant improvement in comparison to its counterparts in terms of various main metrics.

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Section: Aco-based Routing Protocolsmentioning

confidence: 99%

“…The works that can be found in previous studies 13,37,38 attempt to optimize the energy consumption in WSNs. Also, Enxing and Ranran 39 employ ACO for WSNs, and their aim is to optimize some very important metrics such as adaptability, multipath transmission, cost, energy consumption, and network lifespan.…”

Section: Related Workmentioning

confidence: 99%

IACO‐ERP: An improved ACO‐based energy‐efficient routing protocol for fog‐based WSNs

Moussa

Hamidi‐Alaoui

Alaoui

2021

Int J Communication

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“…The literature has indicated that the ACO algorithm is very useful for data routing [21]. It is clear to see that significant efforts [1,2,9,12,19,23,25] have been made to improve energy efficiency and balancing using ACO algorithm. However, when applying the ACO to WSN routing optimization, still there are the following shortage that decreases its performance and precludes its practical application.…”

Section: Introductionmentioning

confidence: 99%

EHRP : An effective hybrid routing protocol to compromise between energy consumption and delay in WSNs

Moussa¹,

Hamidi‐Alaoui²,

Alaoui³

2022

Preprint

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Sink mobility is seen as a successful strategy to resolve the hotspot problem in Wireless Sensor Network (WSN). Mobile sinks roam in the network and collect data from special nodes such as Cluster Heads (CH) by means of short-range communications which improves the energy efficiency. Numerous mobile sink based routing protocols have been proposed, however, they incur high delays especially in large scale networks where the mobile sink has to travel for a long distance to collect data from CHs and consequently they failed to ensure a tradeoff between energy efficiency and delay. To resolve this issue, we propose in this paper an Effective Hybrid Routing Protocol termed as EHRP. The main aim of this protocol is to combine between single-hop and multi-hop routing. Indeed, when the mobile sink arrives at a cluster it collects its data while the other distant CHs continue to send their data using our proposed improved Ant Colony Optimization (ACO) algorithm to avoid the waiting-time. The existing ACO algorithms use in the distance heuristic which is not practical in real world and fail to consider relevant statistic information of energy (e.g., minimum energy, average energy) in path selection which leads

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