Energy Enhanced Base Station Controlled Dynamic Clustering Protocol for Wireless Sensor Networks

Padmanabhan, K. A.; Kamalakkannan, P.

doi:10.7763/jacn.2013.v1.8

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Some signal processing algorithms and hardware design can also be considered to deal with the energy efficiency problem in such networks. Recent studies [2][3][4][5][6][7][8] have been conducted on energy efficiency improvement in WSNs. For example, in [2], a single-cluster algorithm in homogeneous WSNs with one solar-powered sensor is proposed to optimize the network lifetime.…”

Section: Introductionmentioning

confidence: 99%

A joint resource allocation-channel coding design based on distributed source coding

Khoshroo

Wang

Xing

et al. 2013

Wirel. Commun. Mob. Comput.

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Wireless sensor networks (WSNs) have found a wide variety of applications recently. However, the challenges in WSNs still remain in improving the sensor energy efficiency and information quality (distortion reduction) of the sensing data transmissions. In this paper, we propose a novel cross-layer design of resource allocation and channel coding to protect distributed source coding (DSC)-based data transmission. Resource allocation strategies include rate adaptation and automatic repeat-request retransmissions. Our proposed joint design of resource allocation, channel coding, and DSC can improve the network energy efficiency and information quality while meeting the data transmission latency requirements. Further, we investigate how the resource allocation enables the network to achieve unequal error protection among correlated DSC streams. Our simulation studies demonstrate that the proposed joint design significantly improves the DSC-based data transmission quality and the network energy efficiency.

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Section: Introductionmentioning

confidence: 99%

A joint resource allocation-channel coding design based on distributed source coding

Khoshroo

Wang

Xing

et al. 2013

Wirel. Commun. Mob. Comput.

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“…BCDCP is a protocol quite similar to a variant of LEACH (LEACH-C) [7]. It has 2 major phases -Setup and Data Communication.…”

Section: Base Station Cotrolled Dynamic Clustering Protocol (Bcdcp)mentioning

confidence: 99%

A Survey on the Various Frameworks Available for ReEnergizing Wireless Senor Networks

Abraham¹

2015

IJRITCC

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Abstract-Wireless Sensor Networks (WSNs) are finding their applications in different scenarios in our day to day life. However a major problem that our current technology faces these days is the lack of technical knowledge of how these networks can be kept up and functioning to an efficient level. The power consumption and replenishment of sensors deployed in environments for monitoring, has been a challenging factor since decades. Researches on the improvements in the efficiency in the power consumption of WSNs have been going on for quite a while. Premature energy depletion and outdated recharging strategies are some of the major research areas that require improvement in WSNs. In this paper we enumerate the existing technologies and new proposals on the different frameworks that have been designed to enhance the efficiency in recharging Sensors deployed in WSNs.

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“…As the improvement the efficiency is one of the important thing to be taken care in WSN [1],the technique named Fuzzy Logic [6] [7] [8] of Artificial Intelligence [2] is applied to the conventional BCDCP in order to improve its lifetime. Siva D. Muruganathan [5]proposed a centralized routing protocol called Base Station Controlled Dynamic Clustering Protocol (BCDCP), which distributes the energy dissipation evenly among all sensor nodes to improve network lifetime and average energy savings.…”

Section: Introductionmentioning

confidence: 99%

Ai-Bcdcp: Artificially Intelligent Base Station Controlled Dynamic Clustering Protocol

2015

Icrbit - 2015

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Abstract-In wireless sensor network life time, the energy efficiency is the determinant aspect . To reduce the energy consumption and to improve the network lifetime, various routing protocols are used. In case of hierarchical clustering, the process of aggregation and fusion of data is performed, which is an efficient way to reduce the overall energy consumption within the cluster. Base Station Controlled Dynamic Clustering Protocol (BCDCP) is one of the example of hierarchical clustering protocols in which Cluster Heads(CH) perform Aggregation and Fusion of data. This paper proposes a Fuzzy Logic technique of ArtificialIntelligence to be applied to the conventional BCDCP to reduce the energy consumption and also improves the efficiency which is the main objective and this leads to improve the lifetime of the network. Such an environment is created and the same is simulated. Energy Consumption as well as the Lifetime of the Conventional and Fuzzy-Based BCDCP are compared by plotting the graphs.

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Energy Enhanced Base Station Controlled Dynamic Clustering Protocol for Wireless Sensor Networks

Cited by 7 publications

References 14 publications

A joint resource allocation-channel coding design based on distributed source coding

A joint resource allocation-channel coding design based on distributed source coding

A Survey on the Various Frameworks Available for ReEnergizing Wireless Senor Networks

Ai-Bcdcp: Artificially Intelligent Base Station Controlled Dynamic Clustering Protocol

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