Ant colony based self-adaptive energy saving routing for energy efficient Internet

Kim, Young‐Min; Lee, Eunjung; Park, Hea-Sook; Choi, JunKyun; Park, Hong-Shik

doi:10.1016/j.comnet.2012.03.024

Cited by 36 publications

(28 citation statements)

References 13 publications

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“…These networks are power constrained as nodes operating with limited battery power [1]. Recently it is criticized that the current WSN wastes energy due to an unoptimized network design, which does not consider the energy consumption of network elements such as routers and switches [2]. In general, the design of a routing protocol with multiconstrained metrics has not always taken into consideration the consumption of battery energy.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks

Sumithra

Victoire

2015

The Scientific World Journal

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Due to large dimension of clusters and increasing size of sensor nodes, finding the optimal route and cluster for large wireless sensor networks (WSN) seems to be highly complex and cumbersome. This paper proposes a new method to determine a reasonably better solution of the clustering and routing problem with the highest concern of efficient energy consumption of the sensor nodes for extending network life time. The proposed method is based on the Differential Evolution (DE) algorithm with an improvised search operator called Diversified Vicinity Procedure (DVP), which models a trade-off between energy consumption of the cluster heads and delay in forwarding the data packets. The obtained route using the proposed method from all the gateways to the base station is comparatively lesser in overall distance with less number of data forwards. Extensive numerical experiments demonstrate the superiority of the proposed method in managing energy consumption of the WSN and the results are compared with the other algorithms reported in the literature.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks

Sumithra

Victoire

2015

The Scientific World Journal

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“…The A-ESR method [6] is based on ACO to deliver energy efficiency. It defines a new concept named traffic centrality and re-formulates the Integer Linear Programming (ILP) problem into a simpler one using the defined term.…”

Section: Related Heuristicsmentioning

confidence: 99%

“…The main issue the current research confronts is the low lightpath reuse rate (directly correlated to the power consumption) of existing energy-efficient methods [4]- [6] for designing the virtual topology (set of lightpaths that fulfill logical connections between node-pairs), and the ability to effectively design the topology [7] with energy-efficiency as goal, either through off-line planning or during the on-line operation of a network. Power saving increases when the reuse rate gets higher, but this happens at the expense of the computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Lightpath Establishment in Backbone Optical Networks Based on Ant Colony Optimization

Kyriakopoulos

Papadimitriou

Nicopolitidis

et al. 2016

J. Lightwave Technol.

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Energy-aware lightpath routing and establishment in optical backbone networks can reduce energy consumption while preserving performance levels. A heuristic method based on Ant Colony Optimization (suitable for both network planning and operation) is proposed that reduces network's energy footprint by exploiting the basic principles of Swarm Intelligence for finding the most energy-efficient routes from source to the destination node per traffic request and at the same time, for reducing computational complexity to a polynomial level. The reduction of energy consumption is achieved in comparison to other related heuristics under representative backbone network topologies and their actual traffic demand. IP over WDM optical networks are considered for evaluating the performance along with the next generation elastic networks.

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“…Refs. [5][6] proposed a routing algorithm based on ant colony algorithm for green Internet, defined the "traffic centrality" and achieved the energy-saving target via focusing traffic on some links and powering off the other idle links.…”

Section: Introductionmentioning

confidence: 99%

A green intelligent unicast routing algorithm

Zhang

Wang

Huang

2013

2013 5th IEEE International Conference on Broadband Network &Amp; Multimedia Technology

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For the past years, the energy overconsumption problems, arising from the rapid growth of Internet scale and services types, are becoming more and more serious. In this context, the Information and Communication Technology (ICT) sector has given an extensive concern to the research on green networking. From an energy-saving point of view for Internet, this paper designs a power consumption model and a QoS model for unicast. Furthermore, this paper proposes a unicast routing algorithm based on Chandy-Misra algorithm and Q-learning algorithm for green Internet, which is compared with an ant colony algorithm based self-adaptive energy saving routing with respect to power consumption, the success rate of routing and running time. Results show the intelligent unicast routing algorithm proposed can effectively reduce network energy consumption, while guaranteeing the good performance.

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Ant colony based self-adaptive energy saving routing for energy efficient Internet

Cited by 36 publications

References 13 publications

[Retracted] Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks

[Retracted] Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks

Energy-Efficient Lightpath Establishment in Backbone Optical Networks Based on Ant Colony Optimization

A green intelligent unicast routing algorithm

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