Article

Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH).

JDCTA 01/2009; 3(2):132-136. DOI: 10.1109/SENSORCOMM.2007.4394931
Source: DBLP

ABSTRACT

This paper studies LEACH protocol, and puts forward energy-LEACH and multihop-LEACH protocols. Energy-LEACH protocol improves the choice method of the cluster head, makes some nodes which have more residual energy as cluster heads in next round. Multihop-LEACH protocol improves communication mode from single hop to multi-hop between cluster head and sink. Simulation results show that energy-LEACH and multihop-LEACH protocols have better performance than LEACH protocols.

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    • "The first clustering protocol proposed for WSNs was LEACH [2]. It is a dynamic, hierarchical, probabilistic, distributed and one-hop protocol. "

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    • "II. Related Work Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol for sensor networks is proposed in [10] which minimize energy wastage in sensor networks. It is very famous hierarchical routing algorithms for sensor networks which make clusters of the sensor nodes based on the received signal strength. "
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    ABSTRACT: Wireless sensor network composed of large number of homogenous sensor nodes, connected through a wireless network that collect data and relayed to the sink node. In this transmission such issues are very critical like efficient energy, network lifetime, power consumption. In order to reduce these issues new method has been purposed i.e. LEACH protocol. LEACH (low energy adaptive clustering hierarchy) protocol is a good solution for such issues. Existing O-LEACH protocol performs well in terms of energy efficiency and network lifetime for particularly with the existing probability, but they do not consider the position of nodes and cluster head from the base station for the transmission of data packets. In this research work, few classical clustering routing protocols are systematically analyzed and have been assumed as a base for further work. The proposed work is based on O-LEACH. On the basis of comparison with existing O-LEACH, it shows improvement in the energy efficiency and in network lifetime.
    Full-text · Article · Aug 2015
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    • "The comparison results show that CHEF outperforms LEACH in about 22.7%. Vice Low Energy Adaptive Clustering Hierarchy (VLEACH) protocol is developed based on LEACH protocol (Yassein et al., 2009). It is designed to reduce the consumption of power. "
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    ABSTRACT: One of the important factors of Wireless Sensor Networks (WSNs) is sensors lifetime. Elongating sensors lifetime increases the benefits from the network capabilities as much as possible. To elongate WSNs lifetime, power consumption should be reduced. To do so, load balance technique is applied to distribute the energy consumption among cluster’s nodes in the WSN. In each cluster, the node that acts as Cluster Head (CH) is the one that significantly suffers from power consumption problem. To elongate the WSNs lifetime, different sensor node is elected to act as CH for a period of time (round). Choosing the proper CH per round greatly affects the energy efficiency in the network. In this study, a new protocol for clustered heterogeneous WSNs (called LBEACH) is suggested to reduce power consumption and prolong the network lifetime. Distributed clustering methodology, with a novel algorithm to elect cluster heads in each round, is applied and tested. The elected CH is the node that has the minimal estimated broadcast cost and the highest residual energy. The estimated broadcast cost of each node is the estimated cost needed for sending a message to all other nodes within the same cluster and to the base-station. LBEACH performance is measured using network lifetime, power consumption and throughput. By comparing LBEACH performance with other protocols, Low Energy Adaptive Clustering Hierarchy (LEACH) and Stable Election Protocol (SEP) protocols, it was found that LBEACH shows a significant improvement in the network lifetime, power consumption and throughputs toward Base-Station (BS).
    Full-text · Article · Jun 2015 · Journal of Computer Science
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