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This work introduces a cluster head selection optimization model in wireless sensor networks (WSN). It applies the grey wolf optimization. The optimization of WSN cluster heads greatly influences the network life time. Grey wolf optimization(GWO) is a recently proposed optimizer that has a variety of successful applications. Therefore, adapted and applied in here to solve the CH selection problem...
In recent times the incorporation of Wireless Sensor Network (WSN) with Internet of Things (IoT) has become more conscientious for the researchers. The collection of enormous amount of homogenous sensor nodes forms the Wireless Sensor Network. These sensor nodes have restricted battery power and memory and so the limited amount of energy is considered as the major issue. To overcome this issue several...
To select fair and balanced cluster head for cross layer protocol in wireless sensor network, a novel scheme is proposed in this paper. Because LEACH-C and its most of the variants select cluster head by considering energy and distance as a crucial parameter, it can reduce energy consumption of nodes but fail to create balanced cluster. According to the requirement of fair CH selection, we consider...
Spontaneous progress in the field of wireless sensor networks (WSN) have led to development of various protocols for reliable communication and increasing longevity of the network. While designing the protocols for WSNs, designers come across the issues like limited energy per node, limited bandwidth for communication, security, minimum communication and computational cost. This paper focuses on energy...
Wireless sensor networks are principally categorized by insufficient energy resource. Naturally, communication between the nodes is the utmost energy consuming act that they perform. Hence, development of a well-organized clustering algorithm can play a vital part in enhancing the lifetime of network. Currently, nature inspired methodologies are very common in dealing with it. This work presents a...
As it is the fact that sensors deployed in the field are not accessible after deployment hence lifetime of the network is directly dependent on residual energy the sensors have. Conservation and efficient utilization of energy are very crucial in a sensor network. Clustering is one of the best-accepted strategies to efficiently utilize energy. Various approaches are proposed in the literature for...
In past few years the use of Wireless Sensor Networks (WSNs) are increasing tremendously in different applications such as disaster management, security surveillance, border protection, combat field reconnaissance etc. Sensors are expected to deploy remotely in huge numbers and coordinate with each other where human attendant is not practically feasible. These tiny sensor nodes are operated by battery...
Wireless Sensor Network (WSN) consists of small nodes with sensing, computation, and communications capabilities. Sensor node senses the data and sends data to the base station for further processing. These sensor nodes mainly rely upon batteries for energy, which get drained at a quicker rate due to the computation and communication and this decreases the lifetime of the network. In order to solve...
Device to Device (D2D) communication technique has been projected as means of taking the benefit of increasing performance of cellular communication with direct link between users. In this paper, we propose a dynamic intra cluster data sharing method taking advantage of D2D multicast. One of the users serves as cluster head to take turns to multicast at a particular time, selected by base station...
Energy efficiency is resent issue in wireless sensor network (WSN). Hierarchical routing or Clustering is best solution for reducing energy consumption in WSN. LEACH (Low energy adaptive clustering hierarchy) is good hierarchical protocol. There are many protocols introduced based on LEACH but still have issue of energy efficiency. Lots of research is going on CH (cluster head) election algorithm,...
This research expands the scope of wireless sensor network (WSN) optimization from single objective to multi objective optimization. It introduces a WSN's energy-aware and coverage preserve hierarchal clustering and routing model based on multi-objective bat swarm optimization algorithm. Two objectives are taken into consideration; coverage and nodes residual energies. The proposed model optimizes...
In this paper, we propose a novel clustering protocol for wireless sensor and robot networks (WSRN) to ensure efficient energy usage and maintain maximum connectivity among the sensors. Our algorithm mainly works in two phases: (i) creates optimal number of clusters in the region of interest via three-point centroidal voronoi diagram. (ii) aggregates data from the members of each cluster and transfers...
In order to solve the problems of LEACH (Low Energy Adaptive Clustering Hierarchy) nodes short life cycle and consumption imbalance, the paper proposes an improved algorithm of LEACH. The main idea of the improved algorithm is to consider the current position and the current energy of the node, which can be more evenly distributed cluster head, in order to prolong the life cycle of the node. A comparison...
The node energy consumption is not balanced inexisting clustering routing protocol of wireless sensor network (WSN).A clustering routing algorithm based on distance probability (CRABDP) is proposed to improve this problem. It is calculated probability selected into head according to the distance with sink and the residual energy of nodes. Cluster heads distribution near sink is more than its distribution...
In this paper, we analyse the effectiveness of LEACH protocol in extending the lifetime for energy-constrained wireless sensor networks. An improved protocol LEACH-R is proposed based on LEACH protocol. LEACH-R improves the selection of cluster-head and proposes to choose relaying node compare to LEACH. Residual energy of the nodes is conisdered during selection of cluster-head, possibility of low-energy...
This paper presents an improved version of LEACH protocol which aims to reduce energy consumption within the wireless sensor network and prolong the lifetime of the network. This paper improves LEACH protocol by improving the election strategy of the cluster-head nodes based on remaining energy of sensor nodes, distance from base station and the number of consecutive rounds in which a node has not...
Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems...
In Wireless Sensor Networks (WSNs), recharging node batteries may be inconvenient or impossible. There are several different approaches to overcome this problem. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a well known algorithm whose best advantage is that each node makes its decision about whether to be a cluster-head independently, but it cannot guarantee an even energy load distribution...
Many recent applications deal with continues flows of data (data streams). One important area of applications that is based on data streams is the area of Wireless Sensor Networks (WSNs) applications. Since sensors have limited lifetime, the need for developing algorithms for aggregating sensors' data forms an important concern in the area of WSNs. We present W-LEACH, a data-stream aggregation algorithm...
In this paper, we propose a novel hierarchical clustering approach for wireless sensor networks to maintain energy depletion of the network in minimum using Artificial Bee Colony Algorithm which is a new swarm based heuristic algorithm. We present a protocol using Artificial Bee Colony Algorithm, which tries to provide optimum cluster organization in order to minimize energy consumption. In cluster...
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