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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,...
Energy efficiency in data collection and dissemination is a very important factor in wireless sensor networks. Therefore, minimizing energy consumption and maximizing network lifetime are the key factors for the design of wireless sensor network protocols. One of the energy conservation techniques is to select proper cluster head in a cluster. In this paper, a protocol has been proposed to select...
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...
Energy consumption and lifetime of WSN are the most important research challenges to be resolved. For load balancing and efficient data collection in the network, clustering is used. Sensors in each cluster send the data to their corresponding cluster heads. The cluster head performs data aggregation and transmission of the aggregated data to the base station. Farther sensor nodes data are aggregated...
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...
This paper emphasis on different hierarchical routing protocols in wireless sensor network. The Clustering approached is used in LEACH protocol for better communication with energy saving. The Sectoring Scheme is used in MARS approach for dividing the sensor network into different sectors. It improves reliability of an application or network. The working of both the approaches is explained in algorithmic...
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...
Energy efficiency has become a main challenge in Wireless Sensor Networks (WSNs) and their applications. Localization is one of the indispensable stages in WSN. Localization generally refers to the process of locating the position of one or more node(s) in a network. This paper develops and evaluates an improved energy aware localization algorithm in WSNs. Clustering techniques have been intensively...
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...
Target tracking with the wireless sensors networks is to detect and locate a target on its entire path through a region of interest. This application arouses interest in the world of research for its many fields of use. Wireless sensor networks, thanks to their versatility, can be used in many hostile environments and inaccessible to humans. However, with a limited energy, they cannot remain permanently...
Wireless Sensor Networks are used in collection of fields which comprises of disaster management, ecological observing, healthcare, battle arena, biotic, home, and other viable applications. With enormous evolution in the dome of entrenched sensor technology, there are tranquil of number of sensor nodes that are capable of intuiting, stimulating, and transmitting the unperturbed data, has been made...
This paper proposes a new model to efficiently control cluster-heads using heterogeneous sensors in real-time. It also proposes a generic software framework to feasibly and efficiently meet the needs of the users and applications (e.g., reliability, energy efficiency). The proposed model and its method have been implemented and evaluated in Matlab, comparing its performance with known protocols for...
In order to balance the energy consumption of the wireless sensor network(W SN), this paper studies the traditional routing protocol HEED, and proposed an inter-cluster multi-hop routing protocol NHEED (A New kind of multi-hop routing protocol based on HEED). To process the isolate node product by HEED, the NHEED use a method add the isolate node to nearest cluster, which decrease the cluster head...
DV-Hop algorithm is proposed based on the error bound (EBDV-Hop) for the problems of DV-Hop that node localization algorithm caused by estimating large distance, and the problem of particle swarm optimization algorithm to search a large space and solve the problems slowly: Firstly EBDV-Hop model is set up based on the analysis algorithm error of DV-Hop; Then the positioning results are optimized by...
During the routing, Data is collected from the all sensor nodes, in result, the sensor nodes located closer to sink node have to receive and transmit not only their own data but also data from other sensor nodes, which are further sent to sink. It leads to the fact that the nearest sensor nodes fail much earlier than remote ones, In the long run, traffic from all the sensor nodes is going through...
Designing an energy-efficient and scalable sensor network while maximizing the lifetime remains a challenge. A number of protocols have been proposed in order to provide a good management in Wireless Sensor Networks (WSNs). Routing involves non-negligible operations that considerably affect the network lifetime and throughput. The clustering technique with data aggregation on cluster heads provides...
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 networks (WSNs) is an important application for real time monitoring and detecting the phenomenon in a coal mine, which can ensure the workers' life safety and reduce the financial loss. But the drawback of WSNs is that the nodes are easy to die. To balance the traffic load and optimize the networks' routing seems more important. Clustering is an effective approach to prolong the network...
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