ANCAEE: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks (original) (raw)

Clustering Algorithm for Energy- Efficient Wireless Sensor Network

2021

Wireless networks data aggregation allows in-network processing, reduces packet transmission and data redundancy, and thus helps extend wireless sensor systems to the full duration of their lives. There have been many ways of dividing the network into clusters, collecting information from nodes and adding it to the base station, to extend wireless sensor network life. Certain cluster algorithms consider the residual energy of the nodes when selecting clusterheads and others regularly rotate the selection head of the cluster. However, we seldom investigate the network density or local distance. In this report we present an energy-efficient clustering algorithm that selects the best cluster heads of the system after dividing the network into clusters. The cluster head selection depends on the distance between the base station nodes and the remaining power of this approach.Each node's residual energy is compared to the node count. Our results show that the solution proposed more ef...

A Distributed Clustering Technique for Energy Efficient Wireless Sensor Network

2017

Energy of the sensor nodes is the key resource for designing a Wireless Sensor Network. The network lifetime depends upon the battery present in the sensor nodes. These sensor nodes are irreplaceable once deployed. Therefore, steps to minimize the network energy consumption is required. In this regard, clustering is found to be a beneficiary approach, but static clustering leads to energy scarcity. This paper proposes a distributed clustering approach for balancing the energy consumption among the nodes in the network. The idea is to divide the network into cluster and use residual energy as the periodic cluster head selection parameter. The cluster head will use multihop routing for transmitting the aggregated data to the sink. Simulation results shows that more number of nodes are alive for long duration of time and thereby balancing the energy consumption of nodes in the network.

An Energy Efficient Clustering Scheme in Wireless Sensor Networks

Ad Hoc & Sensor Wireless Networks, 2007

Data gathering is a common but critical operation in many applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach in wireless sensor networks, which can increase network scalability and lifetime. In this paper, we propose a novel energy efficient clustering scheme (EECS) for single-hop wireless sensor networks, which better suits the periodical data gathering applications. Our approach elects cluster heads with more residual energy in an autonomous manner through local radio communication with no iteration while achieving good cluster head distribution; further more, it introduces a novel distance-based method to balance the load among the cluster heads. Simulation results show that EECS prolongs the network lifetime significantly against the other clustering protocols such as LEACH and HEED.

Improving Energy Efficient Clustering Method for Wireless Sensor Network

International Journal of Information Technology and Computer Science, 2013

Wireless sensor networks have recently emerged as important computing platform. These sensors are power-limited and have limited computing resources. Therefore the sensor energy has to be managed wisely in order to maximize the lifet ime o f the network. Simp ly speaking, LEA CH requires the knowledge of energy for every node in the network topology used. In LEA CHs threshold which selects the cluster head is fixed so this protocol does not consider network topology environ ments. We proposed IELP algorith m, which selects cluster heads using different thresholds. New cluster head selection probability consists of the in itial energy and the nu mber of neighbor nodes. On rotation basis, a head-set member receives data from the neighboring nodes and transmits the aggregated results to the distant base station. For a given number of data collecting sensor nodes, the number of control and management nodes can be systematically adjusted to reduce the energy consumption, which increases the network life.

Survey on Energy Efficient Clustering in Wireless Sensor Network

International Journal of Engineering Research and, 2016

Wireless Sensor Network has become progressively more demanding and has found their way into a variety of ways of application in real world. Wireless Sensor Network (WSN) consists of several small nodes called sensor, each capable of sensing, computing and transmitting of sensed real world information. As sensor nodes rely on the non-rechargeable energy source i.e. Small Battery, so energy consumption is a big issue here. Clustering is proved to be a good way to manage energy decapitation of WSN.

A novel clustering algorithm for efficient energy saving in wireless sensor networks

International Symposium on Computer Networks, 2006

Energy efficiency operations are essential in extending wireless sensor networks lifetime. Among the energy-saving-based solutions, clustering sensor nodes is an interesting alternative that features a reduction in energy consumption through: (i) aggregating data; (ii) controlling transmission power levels (iii) balancing load; (iv) putting redundant sensor nodes to sleep. This paper introduces a novel clustering algorithm that uses a distributed approach

Clustering and Energy Efficiency in Wireless Sensor Networks: A Study

—A wireless sensor network comprises a number of small sensors that communicate with each other. Each sensor collects the data and communicates through the network to a single processing center that is a base station. The communication of node and process of message passing consumes energy. This energy consumption by the nodes to transmit data decreases the network lifetime significantly. Clustering is by far the best solution to save the energy consumption in the context of such network. Clustering divides the sensors into groups, so that sensors communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the processing center so as to save energy. This paper studies and discusses various dimensions and approaches of some broadly discovered algorithms for clustering. It also presents a comparative study of various clustering algorithms and discussion about the potential research areas and the challenges of clustering in wireless sensor networks.

A Novel Energy Efficient Clustering Technique for Mobile Wireless Sensor Networks

2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), 2019

Mobile wireless sensor network (MWSN) is an emerging technology, which is an extended form of wireless sensor network (WSN). It is employed in diverse real time applications due to its unique characteristics of self conFigure and mobility. We initiate a novel clustering technique by integrating super cluster head (SCH) concept with MTE protocolin this paper. The SCH are static and highly efficient sensor nodes which are placed inside the network to gather data from CHs. The use of SCH will reduce the distance of data transmission from CHs to BS and thereby increases the energy efficiency. The CHs transmit data to SCH and it will forward the data to BS. The incorporation of SCH with the MTE protocol will further increase the networks performance. The projected method is implemented and the results depicted the superiority of the projected method over another methods.

Energy Optimization Clustering Algorithm for Wireless Sensor Network

TJPRC, 2013

In this article, efficient energy saving scheme and related algorithm have to be developed and intended in order to provide reasonable energy consumption and to get better the network life span for wireless sensor network systems. The cluster-based method is one of the approaches to reduce energy utilization in wireless sensor networks. In this article, we propose an energy optimization clustering algorithm to offer efficient energy utilization in such networks. The main idea of this article is to reduce data transmission distance of sensor nodes in wireless sensor networks by using the identical cluster concepts. In order to make an ideal allotment for sensor node clusters, we compute the average distance among the sensor nodes and take into account the left over energy for selecting the suitable cluster head nodes. The life span of wireless sensor networks is extended by using the identical cluster position and stabilizing the network loading along with the clusters For the Simulation considering the following parameters throughput, energy consumption, residual energy, End to end packet delay.