scholarly journals Clock Synchronization using Truncated Mean and Whale Optimization for Clustered Sensor Networks

2021 ◽  
Vol 13 (03) ◽  
pp. 57-77
Author(s):  
Karthik Soundarapandian ◽  
Ashok Kumar Ambrose

Clock synchronization is an important component in many distributed applications of wireless sensor networks (WSNs). The deprived method of clock offset and skew estimation causes inaccuracy, synchronization delay, and communication overhead in the protocols. Hence, this paper exploits two techniques of variation truncated mean (VTM) and whale optimization (WO) to enhance the synchronization metrics. Sensor nodes are grouped into several non-overlapped clusters. The cluster head collects the member nodes’ local time and computes the synchronization time 𝑆𝑍𝑡 using the truncated mean method. Nodes with a high variation in the timings compared to a preset value are truncated. The head node broadcasts the 𝑆𝑍𝑡 in which the whale optimization is aiming at each node to reduce the synchronization error. The intra and inter-cluster synchronizations are accomplished through the multihop message exchange approach. The theoretical analysis is validated, and the simulation outcomes show that the performance metrics in the proposed work are better than the conventional methods by achieving minimum error value.

2015 ◽  
Vol 785 ◽  
pp. 744-750
Author(s):  
Lei Gao ◽  
Qun Chen

In order to solve the energy limited problem of sensor nodes in the wireless sensor networks (WSN), a fast clustering algorithm based on energy efficiency for wire1ess sensor networks is presented in this paper. In the system initialization phase, the deployment region is divided into several clusters rapidly. The energy consumption ratio and degree of the node are chosen as the selection criterion for the cluster head. Re-election of the cluster head node at this time became a local trigger behavior. Because of the range of the re-election is within the cluster, which greatly reduces the complexity and computational load to re-elect the cluster head node. Theoretical analysis indicates that the timing complexity of the clustering algorithm is O(1), which shows that the algorithm overhead is small and has nothing to do with the network size n. Simulation results show that clustering algorithm based on energy efficiency can provide better load balancing of cluster heads and less protocol overhead. Clustering algorithm based on energy efficiency can reduce energy consumption and prolong the network lifetime compared with LEACH protocol.


2019 ◽  
Vol 16 (2) ◽  
pp. 496-502
Author(s):  
N. Vadivelan ◽  
A. Ramamurthy ◽  
P. Padmaja

Wireless sensor networks were organized with the collections of sensor nodes for the purpose of monitoring physical phenomenon such as temperature, humidity and seismic events, etc., in the real world environments where the manual human access is not possible. The major tasks of this type of networks are to route the information to sink systems in the sensor network from sensor nodes. Sensors are deployed in a large geographical area where human cannot enter such as volcanic eruption or under the deep sea. Hence sensors are not rechargeable and limited with battery backup; it is very complicated to provide the continuous service of sending information to sink systems from sensor nodes. To overcome the drawback of limited battery power, this paper proposes the concept of minimizing energy consumption with the help of neural networks. The modified form of HRP protocol called energy efficient HRP protocol has been implemented in this paper. Based on this concept, the workload of cluster head is shared by the cluster isolation node in order to increase the lifetime of the cluster head node. Also cluster monitoring node is introduced to reduce the re-clustering process. The implementation procedure, algorithm, results and conclusions were proved that the proposed concept is better than the existing protocols.


2015 ◽  
Vol 743 ◽  
pp. 748-752 ◽  
Author(s):  
L.F. Liu ◽  
P. Guo ◽  
J. Zhao ◽  
N. Li

Wireless sensor network routing protocol is to prolong the survival time of wireless sensor networks by using the sensor nodes energy efficiently. Traditional LEACH protocol is random in the election of the cluster head, if a less energy node is first elected as a cluster head node, then the node might die soon, it will greatly reducing the lifetime of the network. In order to collect data more efficiently and prolong the network life cycle,we need better clustering protocol. Aim at the traditional LEACH protocol have some weakness,this paper improve the protocol based on traditional LEACH protocol, two influence factors which the residual energy and the number of elected cluster head of the nodes had been introduced to make the clustering more ideal. Simulation results show that compared to the traditional Leach algorithm ,the improved LEACH protocol can prolong the network life cycle more effective and reduce the energy consumption of the whole network.


2016 ◽  
Vol 12 (10) ◽  
pp. 97
Author(s):  
Jun Ma

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">In this paper the dynamic point target tracking is studied, and a message driven target tracking algorithm based on non-ranging is proposed by combining the actual sensor node characteristics. By tissue tracking around the target sensor nodes collaborate to establish a tracking cluster and the cluster head node for data fusion to accurately locate the target and thus formed a kind of efficient and precise distributed dynamic tracking cluster algorithm of DTC. The tracking cluster can follow the target as a shadow, and it can realize the management of the cluster itself and constantly report to the sink node to the target location. The protocol is especially suitable for the use of large scale wireless sensor networks with low node cost.</span>


2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987904
Author(s):  
Lin Lin ◽  
Jinfu Chen ◽  
Patrick Kwaku Kudjo ◽  
Omari Michael

In the mobile sensor networks, the sink node registers its own events in the network, and when the sensor node finds an event of interest to the sink node, it sends a response message. The data traffic of the communication process in the application scenario has a bursting feature, and sometimes network congestion occurs. Therefore, when designing the data routing protocol, it is necessary to consider how to reduce the communication overhead in the network and improve the success rate of the query. To address this issue, this article proposes a routing protocol for content-based publish/subscribe, which is applicable in mobile sensor networks. The core idea of routing protocol for content-based publish/subscribe is that all sensor nodes in the network are divided into several clusters, and the transmission of sensing events is based on these clusters. The protocol consists of event publishing, subscription, matching, and unsubscribe. The inquirers send subscription information to the network, which are saved in the cluster head network. Published events are also transmitted to the cluster head network and the matching computation is performed. If the match is successful, events will be sent to subscribers, thus improving the success rate of queries. The simulations show that compared with existing methods, routing protocol for content-based publish/subscribe consumes lower matching events transmission energy to obtain a higher success rate. In the case of a large number of published events, the network lifetime of the routing protocol for content-based publish/subscribe protocol can be increased by 28%–54%, and the subscription success rate remains above 80%.


2020 ◽  
Vol 18 (2) ◽  
pp. 143-149
Author(s):  
Sathyapriya Loganathan ◽  
Jawahar Arumugam

This paper aims to discuss a comprehensive survey on clustering algorithms for wireless sensor networks (WSN). The several real-time applications adopted the WSN with the advance features. But the capacity and size of the battery used in the sensor nodes are limited. Battery replacement or recharging is very difficult in most outdoor applications. Hence handling this kind of network is one of the issues. One of the best solutions to the energy issue is Clustering. Clustering is to balance the energy consumption of the whole network by cluster-based architecture to prolong the network lifetime. Sensor nodes grouped into clusters; one sensor node selects as the cluster head for each cluster. The cluster head sensor node collects the data from their sensor member nodes and forwards them to the sink node. In cluster-based architecture, cluster formation and the selection of the cluster head node decides the network lifetime. The paper discusses the for and against various clustering algorithms. It suggests the vital parameters for developing energy-efficient clustering algorithms and steps to overcome the limitations.


Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 218
Author(s):  
Ala’ Khalifeh ◽  
Khalid A. Darabkh ◽  
Ahmad M. Khasawneh ◽  
Issa Alqaisieh ◽  
Mohammad Salameh ◽  
...  

The advent of various wireless technologies has paved the way for the realization of new infrastructures and applications for smart cities. Wireless Sensor Networks (WSNs) are one of the most important among these technologies. WSNs are widely used in various applications in our daily lives. Due to their cost effectiveness and rapid deployment, WSNs can be used for securing smart cities by providing remote monitoring and sensing for many critical scenarios including hostile environments, battlefields, or areas subject to natural disasters such as earthquakes, volcano eruptions, and floods or to large-scale accidents such as nuclear plants explosions or chemical plumes. The purpose of this paper is to propose a new framework where WSNs are adopted for remote sensing and monitoring in smart city applications. We propose using Unmanned Aerial Vehicles to act as a data mule to offload the sensor nodes and transfer the monitoring data securely to the remote control center for further analysis and decision making. Furthermore, the paper provides insight about implementation challenges in the realization of the proposed framework. In addition, the paper provides an experimental evaluation of the proposed design in outdoor environments, in the presence of different types of obstacles, common to typical outdoor fields. The experimental evaluation revealed several inconsistencies between the performance metrics advertised in the hardware-specific data-sheets. In particular, we found mismatches between the advertised coverage distance and signal strength with our experimental measurements. Therefore, it is crucial that network designers and developers conduct field tests and device performance assessment before designing and implementing the WSN for application in a real field setting.


Wireless Sensor Networks (WSN) consists of a large amount of nodes connected in a self-directed manner. The most important problems in WSN are Energy, Routing, Security, etc., price of the sensor nodes and renovation of these networks is reasonable. The sensor node tools included a radio transceiver with an antenna and an energy source, usually a battery. WSN compute the environmental conditions such as temperature, sound, pollution levels, etc., WSN built the network with the help of nodes. A sensor community consists of many detection stations known as sensor nodes, every of which is small, light-weight and portable. Nodes are linked separately. Each node is linked into the sensors. In recent years WSN has grow to be an essential function in real world. The data’s are sent from end to end multiple nodes and gateways, the data’s are connected to other networks such as wireless Ethernet. MGEAR is the existing mechanism. It works with the routing and energy consumption. The principal problem of this work is choosing cluster head, and the selection is based on base station, so the manner is consumes energy. In this paper, develop the novel based hybrid protocol Low Energy Aware Gateway (LEAG). We used Zigbee techniques to reduce energy consumption and routing. Gateway is used to minimize the energy consumption and data is send to the base station. Nodes are used to transmit the data into the cluster head, it transmit the data into gateway and gateway compress and aggregate the data then sent to the base station. Simulation result shows our proposed mechanism consumes less energy, increased throughput, packet delivery ration and secure routing when compared to existing mechanism (MGEAR).


2020 ◽  
pp. 147-168
Author(s):  
Anju Sangwan ◽  
Rishipal Singh

In the hostile areas, deployment of the sensor nodes in wireless sensor networks is one of the basic issue to be addressed. The node deployment method has great impact on the performance metrics like connectivity, security and resilience. In this paper, a technique based on strong keying mechanism is proposed which will enhance the security of a non-homogeneous network using the random deployment of the nodes. For this, the q-composite key pre-distribution technique is presented with new flavor that will enhance the network size as well as the security level in comparison to the existing techniques. The technique ensures the k-connectivity among the nodes with a redundant method to provide backup for failed nodes. In the simulation section, the performance of the proposed scheme is evaluated using NS-2 based upon the real model MICAz. A discussion based on various obtained results is also given in the paper.


Author(s):  
C. R. Bharathi ◽  
Alapati Naresh ◽  
Arepalli Peda Gopi ◽  
Lakshman Narayana Vejendla

In wireless sensor networks (WSN), the majority of the inquiries are issued at the base station. WSN applications frequently require collaboration among countless sensor nodes in a network. One precedent is to persistently screen a region and report occasions. A sensor node in a WSN is initially allocated with an energy level, and based on the tasks of that sensor node, energy will be reduced. In this chapter, two proposed methods for secure network cluster formation and authentication are discussed. When a network is established then all the nodes in it must register with cluster head and then authentication is performed. The selection of cluster head is done using a novel selection algorithm and for authenticating the nodes. Also, a novel algorithm for authentication is used in this chapter. The validation and authorization of nodes are carried over by managing the keys in WSN. The results have been analyzed using NS2 simulator with an aid of list of relevant parameters.


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