Load Balancing for Efficient Routing in Wireless Sensor Networks

Choi, M. Y.; Kim, Junhyung; Yang, Sooyeol; Ha, Namkoo; Han, Kijun

doi:10.1109/imsccs.2008.42

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Minho Choi, Junhyung Kim, Sooyeol Yang, Namkoo Ha and Kijun Han [12] introduced that Congestion is generated by buffer overflow and generally considered in transport layer. However, there is almost no considered one about existing routing protocols of sensor network because it is difficult to apply congestion control in transport layer of WSNs (wireless sensor networks) that have limited resources such as energy, buffer and bandwidth of sensor nodes.…”

Section: Jang-ping Sheu and Wei-kai Hu [11]mentioning

confidence: 99%

Improved Novel Routing Algorithm for Congestion Control in Wireless Sensor Network

Sohal¹,

Kaur²

2014

IJCA

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Wireless Sensor Network which works in three phases. These three phases plays an important role in utilizing the available free spaces of the neighbored nodes and free routing paths to accommodate the load of Congestion Affected Node's. This Routing Algorithm is implemented in NS-2 where the results show that such an algorithm improves the performance, efficiency of the network by decreasing end to end delay and increasing both the throughput and packet delivery fraction among the nodes.

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Section: Jang-ping Sheu and Wei-kai Hu [11]mentioning

confidence: 99%

Improved Novel Routing Algorithm for Congestion Control in Wireless Sensor Network

Sohal¹,

Kaur²

2014

IJCA

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“…[10] This paper describe about how load balancer will implemented in software defined network for improving performance of the system in terms of minimum response time. [11] This paper explained about, how load balancing scheme is used to avoid the congestion for improving the efficiency. The planned scheme is also effective about energy consumption and dependable about data envelope communication.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Resource Mining in Distributive Sharing (ORMDS) Scheme for Future Heterogeneous Network

Padaganur¹,

Mallapur²

2018

IJITCS

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Abstract-Infuture heterogeneous network communication systems, driven by the evolution of today's most demanding applications, resource allocation and its mining will play an increasingly significant role in our daily life for different use of applications facing a rapid growth in data traffic demands recently. In this work based on future network architecture, we proposed a scheme called Optimization of Resource Mining in Distributive Sharing (ORMDS) for better utilization of in-house residual buffer to improve performance of the network in-terms of maximizing the efficiency, minimizing network delay, call drop and buffer mining. A distributed buffer allocation and mining in the framework is proposed to facilitate different multimedia application in future network. Resource is measured and updated in the buffer table of router. Buffer table is updated based on execution of optimization computation model, which uses optimization seeking model for determining the value of objective function. This minimum value of objective function will improve the resource utilization of the network. The proposed scheme reduces the mining time of the buffer in sharing system and optimizes the delay by using distributed sharing option. This ultimately gives optimum resource sharing at a different instant of time.

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Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Network

Panja

Ghosh

2020

Nature Inspired Computing for Wireless Sensor Networks

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Load Balancing for Efficient Routing in Wireless Sensor Networks

Cited by 5 publications

References 12 publications

Improved Novel Routing Algorithm for Congestion Control in Wireless Sensor Network

Improved Novel Routing Algorithm for Congestion Control in Wireless Sensor Network

Optimization of Resource Mining in Distributive Sharing (ORMDS) Scheme for Future Heterogeneous Network

Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Network

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