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In this paper, we proposed a multi-hop distributed energy-efficient clustering with sub-clustering (MHDEEC-SC) architecture. Our architecture selects a fitter node served as cluster head, and uses the concept of sub-clustering that chooses a node in remote areas with higher energy to serve as sub-cluster head. Besides, our architecture can balance the energy consumption between nodes and improves...
In this paper, our proposed architecture involve new four-layer clustering topology architecture based on LEACH architecture. We propose four-layer clustering topology architecture: the Random Cluster Head and Maximum Energy Sub-cluster Head with Relay node and Sleep mode (RCHMESHR-S) architecture, the aim is to improve energy efficiency and extend the lifetime of wireless sensor networks. The RCHMESHR-S...
In Wireless Sensors Networks (WSNs), energy efficiency is an important topic. To prolong the lifetime and achieve effective geographic routing, we apply a sparse number of anchors and color theory to estimate location of sensor nodes. In this paper, we modify the election of relay node which differs from Color-theory-based Energy Efficient Routing (CEER) algorithm. This approach can reduce the transmission...
In wireless sensor networks (WSNs), to save the energy consumption of sensor nodes so that the network lifetime can be extended is an important issue. In this paper, we propose the PEGASIS topology architecture with the PBCA (phase-based coverage algorithm) to find the redundant nodes which can enter to sleep mode. Therefore, our proposed algorithm can reduce the energy consumption of nodes and extend...
In order to reduce energy consumption, we first show ideal energy mathematical model of PEGASIS topology, since the distance between nodes is the same, this energy mathematical model is the longest network lifetime of WSNs. To achieve this objective, we have proposed IntraGrid PEGASIS topology architecture, which is an architecture based on PEGASIS topology; in this architecture, the sensor area is...
This paper proposes a novel energy efficient data clustering scheme to improve energy efficiency for cluster-based wireless sensor networks (WSNs). In order to reduce the energy dissipation of transmitting sensing data at each sensor, the fixed clustering algorithm uniformly divides the sensing area into clusters where the cluster head is deployed to the centered of the cluster area. Moreover, to...
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