Lifetime maximization of wireless sensor networks using particle swarm optimization

Aleem Kabeer MIR; Muhammad ZUBAIR; İjaz Mansoor QURESHI

Makale detayları

Lifetime maximization of wireless sensor networks using particle swarm optimization

Yazarlar:

Aleem Kabeer MIR | Muhammad ZUBAIR | İjaz Mansoor QURESHI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 1, pp.160-170

Belge Tipi:

Makale

Yayın Tarihi:

1/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000742315

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Wireless sensor networks have multiple applications in intelligent environment and structural monitoring. The major challenge in wireless sensor networks is the power constraint. This paper deals with minimizing the energy utilization of wireless sensor nodes and maximizing their overall life span. The objective of our proposed scheme is to find a method for grouping sensors into the maximum number of distinct sensor cover sets to totally monitor the required area. This problem can be solved by using the disjoint cover set problem. Present optimization techniques take much time and deliver unsatisfactory results in large-scale networks. This paper proposes a technique that delivers optimal results in minimal computation time. The results of the proposed technique are superior to existing techniques ranging from four to more than eighteen times better in various cases.

Makale detayları

Lifetime maximization of wireless sensor networks using particle swarm optimization

Yazarlar: Aleem Kabeer MIR | Muhammad ZUBAIR | İjaz Mansoor QURESHI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 1, pp.160-170

Belge Tipi: Makale

Yayın Tarihi: 1/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000742315

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Aleem Kabeer MIR | Muhammad ZUBAIR | İjaz Mansoor QURESHI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 1, pp.160-170

Belge Tipi:

Makale

Yayın Tarihi:

1/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000742315

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632