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Clustering sensor nodes is an effective technique to prolong the lifetime of wireless sensor networks. In this paper we investigate the impact of heterogeneity of nodes, in terms of their energy and data amount, and propose a novel adaptive, distributed, energy efficient clustering algorithm AEEC for wireless sensor networks, which better suits the heterogeneous sensor networks. Our approach elects...
We propose a position-based, energy-efficient, and centralised clustering protocol for wireless sensor networks. The protocol aims at prolonging the network lifetime by evenly distributing energy load among sensor nodes in the network. A new cluster head selection algorithm is developed in the proposed protocol. In addition, the protocol uses a novel multi-hop routing approach for inter-cluster communication...
The LEACH algorithm for selecting cluster heads is a probabilistic method which produces clusters with a large variation of link distances and uneven energy consumption during the data transmission phase. To address this issue, a RF signal strength algorithm based on link quality is presented. Using a competitive distributed algorithm, nodes attempt to reduce the overall energy required for transmission...
The sensor nodes of wireless sensor networks have limited battery power, so energy efficiency is mainly considered in the design. A novel mechanism of cluster head operation is designed for reducing the energy consumption for broadcasting message and prolonging the network lifetime. The key of the mechanism is that each cluster head acts continuously as local control center and will not be replaced...
Clustering is a promising technique for prolonging network lifetime and improving functionality of a wireless sensor network. It achieves high energy efficiency by utilizing multihop mode communication among clusters.However, relay clusters die much earlier than other cluster, because of unequal burden. As a consequence,network lifetime is significantly decreased. To mitigate this problem, rotation...
The traditional cluster routing method is a typical method for enhancing an energy efficiency, which selects cluster head in order to send the aggregated data arriving from the nodes in cluster to a base station. However the major challenges are the equal distribution of each cluster over the whole sensor network and the energy dissipation caused by the frequent information exchange between selected...
Wireless sensor network are consist of hundreds or thousands of sensor nodes deployed in an area of interest for gathering information. Sensor nodes are harshly energy constrained therefore it is important to organize in a way to save the energy during processing, receiving and communication with base station. Sensor nodes are classified in different clusters. Efficient cluster head is selected in...
In recent years, the wireless sensor networks (WSN) attracts increasing attention due to its bright application prospect in both military and civil fields. However, for the WSN is extremely energy limited, the traditional network routing protocols are not suitable to it. Energy conservation becomes a crucial problem in WSN routing protocol. Cluster-based routing protocols such as LEACH conserve energy...
A particular wireless sensor networks (WSNs), cluster-based WSN (CWSN) have received more and more attention due to the limited energy of battery-powered nodes, but rarely consider the shortest path at the same time. In this paper, we propose an novel energy-efficient routing protocol based on clustering and least spanning tree for wireless sensor network to prolong network lifetime and shorten path...
UWB technology advances the lifetime of UWB-based wireless sensor networks (WSNs) and clustering enhances utilization of limited energy resources of the network.Since cluster heads (CHs) usually forward data via multi-hop, energy consumed by each CH vary with relay traffic and its member size. To achieve energy balance, an overall energy efficient clustering (OEEC) algorithm is proposed. It elects...
The energy of a sensor network decides how long it will be alive. Therefore, energy efficiency is the critical part of network survivability. The most energy-consuming action of a sensor network is considered as communication between nodes. For energy efficient communication, many research activities for clustering mechanisms have been conducted. But, selecting cluster heads, selecting cluster range...
Energy efficiency is one of the most critical concerns for wireless sensor networks (WSNs). A novel virtual multiple input multiple output (MIMO) communication scheme with feedback channel is proposed in WSNs in this paper. Using the feedback channel, channel state information (CSI) could be returned to transmit cluster. Then the ldquobetterrdquo node could be selected to participate in cooperation...
Traditional energy-balanced clustering algorithms in wireless sensor networks (WSNs) usually overlooked the different characters of energy consumption among clusters, which greatly influenced the efficiency of energy employing. To solve this problem, in this paper, a distributed power proportional clustering (DPPC) algorithm is proposed, in which the clusters are determined to be an optimal distribution...
Continued advances of wireless communication technologies have enabled the deployment of large scale wireless sensor networks. The sensors' limited power makes energy consumption a critical issue. In single-hop wireless sensor networks, cluster heads election method based on residual energy can obtain better energy efficiency than the method in which cluster heads are elected in turns or by probabilities...
A large number of small sensors in wireless sensor network are battery-powered; one of the most important design criteria for this type of network is energy efficiency. Clustering provides an effective way for extending the lifetime of a sensor network. In this paper, we propose a maximum-votes and load-balance clustering algorithm (VLCA) for wireless sensor network Each sensor collects votes from...
LEACH exhausts a few nodes much earlier than others, which remarkably decreases the lifetime of whole network. An improved method based on time slots to prolong the minimum lifetime of nodes in LEACH is presented, in which a cluster-head selecting approach decreases the difference in cluster size of LEACH and responsibility mechanism for active node makes the energy consumption uniform in cluster...
It is very important to maximize the lifetime of wireless sensor networks (WSN) operated on limited power. In order to improve the energy efficiency and prolong the network lifetime, a new clustering algorithm based on the optimum one-hop distance is presented. The relationship among the energy consumption, the device electronic energy and the one-hop transmission distance is analyzed, and then the...
Wireless sensor networks (WSNs) composed of a large number of cheap microsensor nodes with limited battery power and highly correlated collected data is intelligent and autonomous system for measure and management. To reduce the redundant data among the nodes and consequently prolong networkspsila lifetime, clustering protocols which perform application-specific local data aggregation have been put...
The scheme proposed in this thesis organizes dynamically clusters at the time of events occurrence and maintains them. The other side, the existing cluster based USN (ubiquitous sensor networks) organize at the network initial time in a lump. So the existing method causes of much energy exhaustion. Therefore the scheme proposed in this thesis can be more efficient than the existing one in the aspect...
A wireless sensor network (WSN) consists of a large number of small sensors with limited energy. Prolonged network lifetime, scalability, and load balancing are important requirements for many WSN applications. Clustering sensor nodes is an effective technique for achieving these goals. In this work, we propose a new energy-efficient approach for clustering nodes in WSNs. Based on this approach, we...
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