DACC: Dynamic agile congestion control scheme for effective multiple traffic wireless sensor networks

Jude, M. Joseph Auxilius; Diniesh, V. C.

doi:10.1109/wispnet.2017.8299979

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…In paper [15], a new duty cycle based congestion aware algorithm known as Dynamic Agile Congestion Control (DACC) designed to overcome the limitations of FIFO based sensor motes at the gateways. The DACC uses two subalgorithms one at the gateway that intelligently senses congestion during its initial stage and another at the sensor node that dynamically alters the duty cycle based on packet marking field.…”

Section: Literature Surveymentioning

confidence: 99%

143900

2022

International Journal of Electronics and Telecommunications

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Wireless sensor network (WSN) is assortment of sensor nodes proficient in environmental information sensing, refining it and transmitting it to base station in sovereign manner. The minute sensors communicate themselves to sense and monitor the environment. The main challenges are limited power, short communication range, low bandwidth and limited processing. The power source of these sensor nodes are the main hurdle in design of energy efficient network. The main objective of the proposed clustering and data transmission algorithm is to augment network performance by using swarm intelligence approach. This technique is based on K-mean based clustering, data rate optimization using firefly optimization algorithm and Ant colony optimization based data forwarding. The KFOA is divided in three parts: (1) Clustering of sensor nodes using K-mean technique and (2) data rate optimization for controlling congestion and (3) using shortest path for data transmission based on Ant colony optimization (ACO) technique. The performance is analyzed based on two scenarios as with rate optimization and without rate optimization. The first scenario consists of two operations as kmean clustering and ACO based routing. The second scenario consists of three operations as mentioned in KFOA. The performance is evaluated in terms of throughput, packet delivery ratio, energy dissipation and residual energy analysis. The simulation results show improvement in performance by using with rate optimization technique.

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Section: Literature Surveymentioning

confidence: 99%

143900

2022

International Journal of Electronics and Telecommunications

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“…The DACC algorithms works on two sub algorithms where the congestion is intelligently sensed at gateway in its initial stage and then the dynamically alter duty cycle using packet marking field. It works for both preemptive and non-preemptive data (Jude and Diniesh 2017). It is proactive in nature which alerts the source node using a special flag to avoid congestion.…”

Section: Hybrid Approach For Congestion Controlmentioning

confidence: 99%

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Yadav

Ujjwal

2020

J Intell Manuf

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A network of randomly deployed sensor nodes which shares limited resources like bandwidth, buffer, queue, and battery powered nodes is known as wireless sensor network. Such network must have energy, to avoid the chances of congestion because congested network degrades the performance of network. Congestion may occur due to several reasons like data packet collision, transmission channel contention and buffer overflow. A congestion control protocol must acquire the functionalities that can increase the lifetime and efficiency of network which are major responsibilities of wireless sensor network. In this paper traffic oriented, resource oriented and a hybrid approach with some additional functionalities of controlling congestion are discussed in a wide manner. The hybrid approach is best as per this survey as it integrates various factors of wireless sensor networks to control and mitigate the situation. A comprehensive analysis is also done on these factors to justify the nature of different approaches.

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“…Due to the easy deployment, cost-effective, flexible, reliable and accurate characteristics, sensor networks are widely used [1][2], such as civil monitoring [18], indoor and outdoor environment monitoring [14][15][16][17], fire detection [19], traffic condition detection [20] [25] and health monitoring [21]. A sensor network is consisted of a large number of intelligent sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Cooperative estimation algorithms for multi-sensor networks with imprecise measurements

Chen

Ren

et al. 2022

MATEC Web Conf.

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A cooperative estimation algorithm is proposed for mutli-sensor networks with imprecise measurements caused by electromagnetic interferences, abnormal currents and other faults in the multi-sensor measurement process. Adaptive schemes based on a reference model are introduced to overcome the adverse effects of multiplicative interference on the estimated information. Then, rigorous theoretical proofs are developed to analyze the adaptive estimation algorithm. Finally, numerical simulation results are carried out to verify the effectiveness of the theoretical analysis.

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DACC: Dynamic agile congestion control scheme for effective multiple traffic wireless sensor networks

Cited by 6 publications

References 11 publications

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143900

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Cooperative estimation algorithms for multi-sensor networks with imprecise measurements

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