Transmission power assignment in network-coding-based-multicast-wireless-sensor networks

Khalily-Dermany, Mohammad

doi:10.1016/j.comnet.2021.108203

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The failure in the node sensor is also handled, and the performance is evaluated using simulation output. "Memetic ant colony algorithm" [15] is proposed to improve the network's e ciency that fuses multicast-based-network-coding dependent routing along with the assignment of power spend for transmission. The memory stores the solution dynamically, and the population list is accelerated to detect the solutions.…”

Section: Literature Reviewmentioning

confidence: 99%

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Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

Karthikeyan,

Vadivel

2024

Wireless Pers Commun

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The device was invented to sense the variations in the deployed Environment, which takes different dimensions in its functionality. The basic operation does not change; it is the same surveillance, gathering and alert. Human intervention in all places is not possible and e cient monitoring in all circumstances cannot be done manually. Wireless Sensor Networks give the solution for the abovespeci ed problem, continuous e cient monitoring and alerting on time without human intervention in any circumstances. Deploying WSNs and extracting e cient performance requires a strong technology backup. However, it's a machine in logical connectivity that may face several technical issues while transferring the gathered data. It has to be recti ed, and e cient service to be provided in the deployed application. Finding the safest and fastest path is one of the critical tasks in the WSN. To achieve that, Bio-Inspired Computing will be used as a tool for designing the protocol to attain the fastest reliable network, even if it deals with the other problems in WSN, such as e cient energy utilization from the battery. In such a way, the Paper is proposed based on the exceptional and exciting behavior of one of the living things, which shook the entire world for almost two years in all aspects, and even a few countries are still seeking a way to come back from its impact, the reason for global lockdown, born with the crown, founder of social distancing, which is popularly known as "Corona" the virus.

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Section: Literature Reviewmentioning

confidence: 99%

“…Where low: = availability of a battery, ack() = method, net_id:= parameter, node_id := id of an individual node. low = val(15) if(node.power < = low) then //check e cient node in a knot node.id = ack(net_id) //to assign it as temporary knot head synchronize info. temp_head.root_table = knot_head.…”

mentioning

confidence: 99%

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

Karthikeyan,

Vadivel

2024

Wireless Pers Commun

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“…The neighborhood information was simultaneously used to solve sub-problems. A memetic ant colony algorithm combining transmission power assignment with the networkcoding-based-multicast routing was proposed by Khalily-Dermany et al [26] to improve network efficiency.…”

Section: Related Workmentioning

confidence: 99%

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

et al. 2022

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For the problem of 5G network planning, a certain number of locations should be selected to build new base stations in order to solve the weak coverage problems of the existing network. Considering the construction cost and some other factors, it is impossible to cover all the weak coverage areas so it is necessary to consider the business volume and give priority to build new stations in the weak coverage areas with high business volume. Aimed at these problems, the clustering of weak point data was carried out by using k-means clustering algorithm. With the objective function as the minimization of the total construction cost of the new base stations, as well as the constraints as the minimal distance between adjacent base stations and the minimal coverage of the communication traffic, the single-objective nonlinear programming models were established to obtain the layout of macro and micro base stations in order to illustrate the impact of the shape of the station coverage area, the circular and the “shamrock” shaped coverage areas were compared in this paper. For the “shamrock” base station, a secondary clustering was undertaken to judge the main directions of the three sector coverage areas. Then, an improved model taking the coverage overlapping into consideration was proposed to correct the coverage area of different sectors. Finally, the optimal layout was obtained by adjusting the distribution of all base stations globally. The results show that the optimal planning method proposed in this paper has good practicability, which also provides a very good reference for solving similar allocation problems of dynamic resources.

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RETRACTED ARTICLE: Sector-like optimization model of 5G base transceiver stations redeployment and the generalization

Ding

Wang²,

et al. 2023

J Comb Optim

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Transmission power assignment in network-coding-based-multicast-wireless-sensor networks

Cited by 7 publications

References 22 publications

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

RETRACTED ARTICLE: Sector-like optimization model of 5G base transceiver stations redeployment and the generalization

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