Root Cause Analysis of Congestion in Wireless Sensor Network

Deshpande, Vinayak; Sarode, Prachi; Sarode, Sambhaji

doi:10.5120/387-578

Cited by 13 publications

(7 citation statements)

References 9 publications

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“…Otherwise it drops the packet because of buffer overflow. Due to the high dynamics of low-power wireless communications, limited resources of sensor nodes, and shared wireless communication medium, many-to-one data gathering pattern in wireless sensor networks can easily cause network congestion and a huge number of packet drops as the result of packet buffer overflow [10,15]. Therefore, to reduce the effects of network congestion on the data gathering performance, the CCPC mechanism is proposed in conjunction with the developed data gathering protocol.…”

Section: Data Transmission Phasementioning

confidence: 99%

LINKORD: link ordering-based data gathering protocol for wireless sensor networks

et al. 2014

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With respect to the multi-hop communication pattern of wireless sensor networks, all the nodes should establish multi-hop paths towards a common data gathering point to provide a data gathering service for the underlying applications. Although data gathering protocols provide a simple service, these protocols suffer from poor performance in practice due to the power constraints of low-power sensor nodes and unreliability of wireless links. Existing data gathering protocols rely on the ETX metric to find high-throughput paths through assuming there is an infinite number of transmission attempts at the link layer for delivering a single packet over every link. However, in practice the link layer provides a bounded number of transmissions per packet over individual links. Therefore, employing existing data gathering protocols in these situations may result in the construction of the paths that require more than maximum number of provided link layer transmissions for delivering a single packet over each link. In this regard, we propose a path cost function which considers the limitation on the number of provided link layer transmissions and relative position of the links along the paths according to their data transmission probability. Furthermore, we introduce a data gathering protocol which uses the proposed path cost function to construct high-throughput paths. Moreover, this protocol employs a newly designed congestion control mechanism during the data transmission process to provide energy-efficient and high-throughput data delivery. The simulation results 123 206 M. Radi et al. show that, the proposed protocol improves data delivery ratio by 70 % and network goodput by 80 %, while it reduces the consumed energy for data delivery by 50 % compared to the default data gathering protocol of TinyOS.

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Section: Data Transmission Phasementioning

confidence: 99%

LINKORD: link ordering-based data gathering protocol for wireless sensor networks

et al. 2014

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“…Only two parameters are considered over here as Quality of Service parameters like Node Density and Topology. These parameters may affect on the congestion as root causes [9].…”

Section: Energy Characterizationmentioning

confidence: 99%

Dependency analysis of energy in wireless sensor networks

Deshpande

Helonde²,

Wadhai

2012

2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN)

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Wireless sensor network, now-a-days become more and more popular because of its application domains. The data generated by each node will not be same. The different types of data will give different performance output of wireless sensor networks. There is different Quality of Service parameters must be taken into account. In this paper, we consider the Node density and topology as a metrics for testing the performance. Every parameter is tested against the delivery of the data and the associated energy required for it. We discussed how node density and topology will affect on the energy consumption of every node as well as on average energy consumption of the network. There are different issues regarding the throughput, packet delivery ratio, delay as far as the wireless sensor network is concern. These issues will be visualizing from energy point of perspectives. The results discussed in this paper may lead to new researcher the correct path and excel their research work accordingly.

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“…The paper [8] surveys the various root causes of congestion in WSN.it analyze the root cause of congestion as Input and Output Flow rate, Node Density, Unbalanced Distribution of Load, Service Time of Node and Reliability of Network. The survey helps to achieve more reliable network.…”

Section: Literature Surveymentioning

confidence: 99%

Reliable Data Collection in EWSN based Wireless Sensor Network

Deshmukh¹,

Nannaware²,

Deshmukh³

2013

IJCA

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The recent development in wireless technology, has led to reduce the problems in the day to day life. Similarly the wireless sensor technology also emerged as powerful technology. Congestion is the major issue on which many research has been done. Typically in Event driven WSN the data that is generated is of great importance. The paper presents an efficient way to collect the data, which is sent through the Event Driven network. The results show that the mobile data collector node efficiently collects the data from the event generated area and disseminates it to sink node. For this a Mobile data collector algorithm is proposed. The mobile data collector node will follow some fix predefined path or random path to disseminate packet to destination node. The experimental results show that the reliability of network is increased.

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Root Cause Analysis of Congestion in Wireless Sensor Network

Cited by 13 publications

References 9 publications

LINKORD: link ordering-based data gathering protocol for wireless sensor networks

LINKORD: link ordering-based data gathering protocol for wireless sensor networks

Dependency analysis of energy in wireless sensor networks

Reliable Data Collection in EWSN based Wireless Sensor Network

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