WSN Using Collective Scheme of Energy Efﬁcient Grouping and Evidence Retrieval

S. P. Santhosh KUMAR; S CHANDRAMOHAN

Makale detayları

WSN Using Collective Scheme of Energy Efﬁcient Grouping and Evidence Retrieval

Yazarlar:

S. P. Santhosh KUMAR | S CHANDRAMOHAN

Yayıncı:

Eğitim Araştırmaları Birliği Derneği

Dergi:

International Journal of Educational Researchers 2017 Vol.8 Issue 1, pp.19-24

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000815521

Sıklık:

Yıllık

eISSN:

1308-9501

pISSN:

1308-9501

Anahtar kelimeler:

Özet:

 

The two-layer network structure has been widely adopted in wireless sensor networks (WSNs) for managing sensor nodes. In such a structure, the low layer nodes communicate with their cluster head, followed by the cluster-head nodes communicating with the base station operating in either a one hop or a multi-hop manner. The main focus of node-clustering algorithms is minimizing energy consumption due to strictly limited resources in WSNs. Also, WSNs are data intensive networks with the capability of providing users with accurate data. Unfortunately, data missing is common in WSNs. In this paper, we propose a novel joint design of sensor nodes clustering and data recovery, where the WSNs is organized in a two-layer manner with our developed clustering algorithm, and then the missing data is recovered based on this two-layer structure. Furthermore, in the proposed clustering algorithm, we take both the energy-efﬁciency and data forecasting accuracy into consideration and investigate the tradeoff between them. This is based on the key observation that the high energy-efﬁciency of the network can be achieved by reducing the distances among the nodes in a cluster, while the accuracy of the forecasting results can be improved by increasing the correlation of the data stream among the nodes in a cluster. Simulation results demonstrate that our joint design outperforms the existing algorithms in terms of energy consumption and forecasting accuracy.

Makale detayları

WSN Using Collective Scheme of Energy Efﬁcient Grouping and Evidence Retrieval

Yazarlar:

S. P. Santhosh KUMAR | S CHANDRAMOHAN

Yayıncı:

Eğitim Araştırmaları Birliği Derneği

Dergi:

International Journal of Educational Researchers 2017 Vol.8 Issue 1, pp.19-24

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000815521

Sıklık:

Yıllık

eISSN:

1308-9501

pISSN:

1308-9501

Wireless sensor networks

energy efﬁciency

node clustering

data forecasting

Sayı

Makale detayları

WSN Using Collective Scheme of Energy Efﬁcient Grouping and Evidence Retrieval

Yazarlar: S. P. Santhosh KUMAR | S CHANDRAMOHAN

Yayıncı: Eğitim Araştırmaları Birliği Derneği

Dergi: International Journal of Educational Researchers 2017 Vol.8 Issue 1, pp.19-24

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: İngilizce

Document ID (Org No.): 2000815521

Sıklık: Yıllık

eISSN: 1308-9501

pISSN: 1308-9501

Wireless sensor networks

energy efﬁciency

node clustering

data forecasting

Sayı

Yazarlar:

S. P. Santhosh KUMAR | S CHANDRAMOHAN

Yayıncı:

Eğitim Araştırmaları Birliği Derneği

Dergi:

International Journal of Educational Researchers 2017 Vol.8 Issue 1, pp.19-24

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000815521

Sıklık:

Yıllık

eISSN:

1308-9501

pISSN:

1308-9501