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Wireless Sensor Networks (WSN), consisting of a large number of sensor nodes connected through wireless medium has emerged as a ground-breaking technology that offers the unprecedented ability to monitor the physical world accurately. Because of resource-constrained nature of sensor nodes, a number of issues have emerged out of which energy-efficiency is an important matter of concern. In this work,...
WSNs (wireless sensor networks) are networks that hundreds or thousands of nodes poured in a field and nodes try to send sensed event to base station (BS). In many cases, the BS isn't in the field and is so far away from nodes. Energy efficiency is one of the major concerns in wireless sensor networks since it impacts the network lifetime. So instead of transmitting directly to BS, in hierarchical...
Energy efficiency is of great importance for the wireless sensor network (WSN). A popular way to save energy is to construct clusters for data aggregation and forwarding. This paper studies the distributed cluster algorithm to improve the energy consumption efficiency. We observe that the cluster head has to lie within the transmission range of the base station (sink node) and the distance between...
Clustering sensor nodes is an effective topology control for increasing network lifetime and scalability. It also, balances the load on the sensor nodes. HEED is a well known distributed clustering protocol that uses both energy and communication cost to elect Cluster Heads (CHs) in a probabilistic way. This paper improves HEED protocol using fuzzy logic and a non probabilistic approach for CH election...
A reliable and efficient clustering algorithm in wireless sensor networks is proposed, which can allow the structured representation of a network topology. According to the residual energy, number of the neighbors, and centrality of each node, the algorithm uses fuzzy petri nets to select cluster head. The algorithm not only balances the energy load of each node, but also provides global reliability...
Wireless sensor network which is composed of a large number of low-cost, low-power, multifunctional sensor nodes deployed in a remote environment to monitor and analyze the data collected in the physical world in a timely manner. Based on the feature of nodes with limited energy, people have done some deep research on the prolongation of the lifetime in the WSN. In this paper, we focus on reducing...
Extensive research has been done on reliable data forwarding in sensor networks. Existing protocols provide reliability at the cost of high energy consumption. In this paper, we propose to develop an Adaptive Energy Efficient Forwarding Protocol (AEEFP) with the aim of keeping the energy consumption low while achieving high reliability. In our proposed protocol, the data forwarding probability is...
Clustering is a widely discussed as an important architecture for data centric wireless sensor networks. Low energy adaptive clustering hierarchy (LEACH), proposed in past, is used as benchmark scheme by many proposals and its performance is widely studied in the literature, over last few years. The probabilistic and randomized clusterhead selection strategy results in variable number of clusterheads...
In wireless sensor networks (WSN), energy efficiency is crucial to achieving satisfactory network lifetime. The most commonly used and may be the only efficient method to reduce the energy consumption significantly is to turn off the radios most of the time, except when it has to participate in data communication. The key challenge is to operate the radio at a low duty cycle but still ensure the delay...
Sensornets must allocate limited computation and energy resources efficiently to maximise utility and lifetime. This task is complicated by the need to coordinate activity between nodes as sensornets are necessarily real-time collaborative systems. In this paper we present and evaluate lightweight adaptive protocols based on pulse-coupled oscillators to synchronise tasks within a unicellular sensornet...
In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that...
Wireless sensor network consisting of a large number of small sensors is effective for gathering various data in a variety of environments. Since each sensor operates on battery, energy efficient data transfer is indispensable to maximize the lifetime of the network. In this paper we propose a new data transfer protocol employed in large-scale wireless sensor network. Here only one designated cluster-head...
In order to prolong the network lifetime, energy-aware protocols should be designed to adapt the characteristic of wireless sensor networks. Clustering is a kind of key routing technique used to reduce energy consumption. In this paper, a new clustering algorithm MNLC (Maximum Network Lifetime Clustering Algorithm) for energy heterogeneous sensor networks is proposed. The algorithm uses distributed,...
Cluster-based LEACH routing protocol has the good adaptability for large-scale wireless sensor network, but the existing algorithms may improve the network lifetime through adjusting the threshold, which could make the number of cluster-heads in one certain area more or less, due to ignoring the number of cluster-heads in the process of cluster-heads decision. An optimal cluster-heads algorithm in...
Wireless sensor networks (WSNs) is composed of sink and many sensor nodes. It has the great scope to monitor environment and the characteristics of wireless communications. Relatively, the advantages of sensor node bring themselves some restrictions. The greatest challenge among those is the constraints on energy. The most critical issue is how to minimize the energy consumption for keeping target...
The optimal number of cluster heads is an important parameter of wireless sensor network performance. Network nodes will consume more energy if the number of cluster heads is too much or too little. This paper focuses on novel calculation method for optimal number of cluster heads. Base on the analysis of LEACH energy dissipation model, novel calculation method is derived from the total energy dissipation...
Wireless sensor networks require shared medium access management to prevent collisions, message corruption and other unhelpful effects. Cellular sensornets require minimal energy consumption to maximise network lifetime, and management of interaction with base stations and other cells. We present a protocol which dynamically generates a near-optimal duty schedule within a cell such that communication...
Coverage is an essential task in sensor deployment for the design of wireless sensor networks. While most existing studies on coverage consider homogeneous sensors, the deployment of heterogeneous sensors represents more accurately the network design for real-world applications. In this paper, we focus on the problem of connected k-coverage in heterogeneous wireless sensor networks. Precisely, we...
Wireless body area sensor networks will revolutionize health care services by remote, continuous and non-invasive monitoring. Body area sensor networks (BASN) should monitor various physiological parameters of a person for a long period of time. Thus, efficient energy usage in sensor nodes is essential in order to provide a long life time for the network. This paper investigates the effect of adding...
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...
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