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Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization...
Efficient utilization of sensor energy to prolong the WSN' lifetime is proposed in this paper. A hybrid PSO Genetic sleep scheduling algorithm for WSNs to escape the local optima trap is the focus of this work. The proposed scheme uses a new parameter: Local Optimum Detector (LOD) for switching from PSO to GA algorithm in order to escape to the local optima trap caused by PSO.
In this paper, a machine-to-machine (M2M) networks are arranged hierarchically to support an energy-efficient routing protocol for data transmission from terminal nodes to a sink node via cluster heads in a wireless sensor network (WSN) at perio network congestion caused by heavy M2M traffic is tackled using the load balancing solutions to maintain high levels of network performance. First, a multilevel...
Consider the problem of energy loss caused by inefficient use of energy in Wireless Sensor Networks (WSN). A clustering energy-efficient transmission protocol for wireless sensor networks based on ant colony path optimization (CEETP-ACPO) is proposed. Firstly, use the distributed cluster computing energy-efficient routing scheme (DCCERS) to select cluster heads according to the center of gravity and...
In this paper, we concentrate on multi-target fusion and tracking problems in wireless sensor network (WSN) based on distributed clustering consensus filter. In particular, for the sake of the network lifetime and the tracking accuracy in multi-target cases, a distributed target-based clustering algorithm is proposed, which consists of the cluster member selection, the cluster head competition and...
In wireless sensor networks (WSNs), preserving energy requires utmost attention, as they are highly resource constrained. Clustering is commonly considered as one of the efficient energy conservation techniques. In a clustered WSN, due to the nature of operation, cluster heads (CHs) near the sink bear the major share of data forwarding compared with the CHs far away from the sink, resulting in an...
The recent advent of Software Defined Networking (SDN) and intelligent networks have prompted the researcher to conduct further investigations into the high-density Wireless Sensor Network (WSN). WSNs have inherent issues that limit their performance, such as sensor resource restrictions that affect power supply, memory, processing units and communications capabilities. This paper proposes new clustering,...
A Wireless Sensor Network consists of enormous amount of sensor nodes. These sensor nodes sense the information from the sensing region and transmit to the sink. From the sink a client can access the required information. Essential part of the wireless sensor network is the sensor nodes that are driven with the batteries. Prolonging the network lifetime is very difficult and expensive in many conditions...
Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement...
Wireless Sensor Network (WSN) is an emerging application that has proved to be very effective due to its wide application and so has become very prominent various industries and research WSN's life is improved through clustering-based routing. Operation and network life are controlled by a large deployed sensor network whose major characteristic is self-organization and energy efficiency. The area...
Wireless Sensor Networks (WSN) is generally used in monitoring and controlling specific environments. Low-priced sensor nodes are used to form the WSN and are kept distributed in a dense manner in the environment. Collecting information and forwarding it to a Base Station (BS) is the chief function of a sensor node. New trends show that the importance and relevance of WSNs has widened and improved...
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...
Wireless sensors are used to acquire the data from different environments such civilian applications, military, tracking, seismic measurements and monitoring applications in order to take necessary actions or to prevent the disasters, to do so all sensors consumes more energy. Since, the sensor is a battery operated device the lifetime of each sensor is reduced. Therefore effective cluster formation...
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...
In recent days, wireless sensor networks (WSN) are catching the spotlights in networking and other emerging fields like large data communication, artificial intelligence, automation systems etc. The major constraint wireless sensor networks are struggling with limited energy supply issues for their sensor nodes. This paper is focused to put emphasis on implementing a clustering protocol inspired from...
Wireless sensor network (WSN) is the interconnection of wireless nodes with limited energy and memory. These networks can be deployed for many critical applications like military operations, rescue management, fire detection and so on. In flat routing structure every node plays equal role of sensor and a router. The topology may change very frequently due to the mobile nature of nodes in WSNs. Maintaining...
Underwater Acoustic Networks and related energy based lifetime enhancement is one of the key domain of research in marine based engineering. A number of algorithms, protocols and approaches are developed so far for effective optimization of acoustic resources still a huge scope of research is there. In this research work, an effective and novel algorithm for energy harvesting is proposed using which...
Clustering is a hierarchical method to data transmission in wireless sensor networks, which has a considerable effect on energy conservation. A balanced and efficient clustering has an important role in these networks. This paper discusses an optimal clustering method in wireless sensor network. Firstly, by considering energy and distance parameters, we model the clustering problem using two techniques,...
This research arises from the need of equality in real life problems. Clustering algorithms are being used in many applications where equality is an interest, such as districting (either zonal or political) and industry (distribution companies). One of the well known clustering algorithms is Fuzzy clustering. We add an equality constraint to the existing model. We call the new optimization problem...
Aiming at issues of load imbalance and low energy efficiency in the existing underwater sensor network clustering algorithm, a novel global optimal clustering algorithm with the low complexity and parallel processing is proposed. The algorithm is based on the basic idea of particle swarm optimization algorithm (PSO). After the binary initial code of the sensor nodes, the particle code is adjusted...
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