Clustering strategies for improving the lifetime of two-tiered sensor networks

Bari, Ataul; Jaekel, Arunita; Bandyopadhyay, Subir

doi:10.1016/j.comcom.2008.05.038

Cited by 102 publications

(66 citation statements)

References 29 publications

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“…The authors in [21] have discussed a new CH election problem based on a set of coverage-aware cost metrics which favor nodes deployed in densely populated network areas. The coverage-aware election of CH nodes, active sensor nodes and routers in clustered WSN increases the lifetime as compared with traditional energy based election methods.…”

Section: Related Workmentioning

confidence: 99%

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EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Kumar

Aseri

Patel³

2011

INT J COMPUT COMMUN

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In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a better performance in terms of lifetime and stability. EECDA protocol includes a novel cluster head election technique and a path would be selected with maximum sum of energy residues for data transmission instead of the path with minimum energy consumption. Simulation results show that EECDA balances the energy consumption and prolongs the network lifetime by a factor of 51%, 35% and 10% when compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy Efficient Hierarchical Clustering Algorithm (EEHCA) and Effective Data Gathering Algorithm (EDGA), respectively.

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Section: Related Workmentioning

confidence: 99%

“…Moreover, each non-CH node also calculates energy residues (E (N CHR) i ) to every CH respectively which is given by Equation (21).…”

Section: Route Selection Phasementioning

confidence: 99%

EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Kumar

Aseri

Patel³

2011

INT J COMPUT COMMUN

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“…The results demonstrate that EDGA significantly outperforms LEACH and HEED in terms of network lifetime. Bari et al (2008) discussed a new CH election problem based on a set of coverage-aware cost metrics which favor nodes deployed in densely populated network areas. The coverage-aware election of CH nodes, active sensor nodes and routers in clustered WSN increases the lifetime as compared with traditional energy-based election methods.…”

Section: Related Workmentioning

confidence: 99%

Distributed stable cluster head election (DSCHE) protocol for heterogeneous wireless sensor networks

Kumar

2012

IJITCC

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During the last decade, wireless sensor networks (WSNs) have gained increasing attention for both the research community and actual users. The sensor nodes are mostly battery operated devices, the critical aspects to face concern how to reduce the energy consumption of nodes by using hierarchical clustered approach, so that the network lifetime and scalability can be extended. The key objective of this paper is to present a new distributed stable cluster head election (DSCHE) protocol to predict the network lifetime and stability of heterogeneous WSNs. In DSCHE, the cluster heads are selected by a weighted probability based on the ratio between residual energy of each node and the average energy of the network. The nodes with high initial and residual energy will have more chances to become the cluster heads as compared with other nodes with low initial and residual energy. The simulation results show that DSCHE balances the energy consumption better than the conventional existing routing protocols and also achieves longer network lifetime and stability in heterogeneous environments.

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“…Each cluster head (CH) receives the data from the nodes of its cluster and from the other CHs, and transmits this data to another CH in the direction of the BS. Bari et al (2008) consider a two-tier heterogeneous network containing powerful relay nodes which form a connected network that can relay data to the BS. They formulate the optimization problem as follows: knowing the positions of sensors and relay (CH) nodes, how should the network be clustered in order to maximize its lifetime?…”

Section: Conventional Flow Models In Wsnmentioning

confidence: 99%