Proceedings ArticleDOI
Energy Efficient Clustering Algorithm with Multi-hop Transmission
Mona Shemshaki,Hadi Shahriar Shahhoseini +1 more
- pp 459-462
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TLDR
An energy efficient algorithm is presented for wireless sensor networks, EECMT (Energy Efficient Clustering with Multi-hop Transmission) employs the wireless sensor network's characteristics and results illustrate that network's lifetime has been optimized to 86% in clustered sensor networks.Abstract:
The wireless sensor network is an autonomous collection of sensors which makes a simple, high speed and inexpensive network. These kinds of network are able to monitor a parameter where the coverage is impossible via wired networks. Since, the sensors in wireless networks are equipped with batteries, these networks are energy constrained and clustering approaches play an important role in energy efficiency and prolonging network's lifetime. In this paper, an energy efficient algorithm is presented for wireless sensor networks. EECMT (Energy Efficient Clustering with Multi-hop Transmission) employs the wireless sensor network's characteristics. In addition to energy consumption, load balancing and network's scalability have been taken into account. Simulation results illustrate that network's lifetime has been optimized to 86% in clustered sensor networks.read more
Citations
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References
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Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Proceedings ArticleDOI
Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach
O. Younis,Sonia Fahmy +1 more
TL;DR: A protocol is presented, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree, which outperforms weight-based clustering protocols in terms of several cluster characteristics.
Proceedings ArticleDOI
EECS: an energy efficient clustering scheme in wireless sensor networks
TL;DR: This paper proposes a novel clustering schema EECS for wireless sensor networks, which better suits the periodical data gathering applications and elects cluster heads with more residual energy through local radio communication while achieving well cluster head distribution.
Proceedings ArticleDOI
Set k-cover algorithms for energy efficient monitoring in wireless sensor networks
TL;DR: In this article, three approximation algorithms for a variation of the set k-cover problem, where the objective is to partition the sensors into covers such that the number of covers that include an area, summed over all areas, is maximized, are presented.