{"title":"Cuboid-based Wireless Sensor Network Localization Algorithm","authors":"Aranya Waan","doi":"10.5121/ijassn.2022.12301","DOIUrl":"https://doi.org/10.5121/ijassn.2022.12301","url":null,"abstract":"Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints on cost and power consumption make it infeasible to equip each sensor node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use anchor nodes, which are equipped with GPS units among unknown nodes and broadcast their current locations to help nearby unknown nodes with localization. In this paper we can proposed a novel algorithm of cuboid localization with the help of central point precision method. Simulation shows that the results are far better then existing cuboid methods and gain accuracy of up to 83% with a localization error of 1.6m and standard deviation of 2.7.","PeriodicalId":321618,"journal":{"name":"International Journal of Advanced Smart Sensor Network Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128390967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wireless Sensor Network Localization in 3D using Steerable Anchors’ Antennas","authors":"Aranya Waan, Lettey lord","doi":"10.5121/ijassn.2022.12303","DOIUrl":"https://doi.org/10.5121/ijassn.2022.12303","url":null,"abstract":"Wireless sensor network localization plays an important role in mobile computing. Moreover, Sensor nodes are often deployed non-uniformly in anisotropic WSNs with holes in various applications such as monitoring area terrain. The existence of holes will invariably affect the Euclidean distances between nodes and result in low accuracy of node localization. The proposed algorithm is suitable for four different topologies, including the semi-C-shape topology, the O-shape topology, the multiple O-shape topology and the concave-shape topology and is exceedingly accurate and efficient comparing with state-of-the-art methods in anisotropic WSNs with holes. Our results show that the error in horizontal plane is less than 0.25 m while in the Z-axis is less than 0.5 m.","PeriodicalId":321618,"journal":{"name":"International Journal of Advanced Smart Sensor Network Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IoT-WSN: Survey on Positioning Techniques","authors":"Netra vision, Siti Nur","doi":"10.5121/ijassn.2022.12302","DOIUrl":"https://doi.org/10.5121/ijassn.2022.12302","url":null,"abstract":"Recent advances in radio and embedded systems for completing the procedure of location estimation most of the time sensor networks are fully dependent on the distance measurements that is present between the sensor neighbourhood node. Techniques used for the localization can be categorized differently. Techniques used for the measurement of the distance between the wireless sensor nodes, dependent upon the physical means are divided into three broader categories namely Received signal strength (RSS), Angle of Arrival (AOA) and propagation base on time measurements. This paper discusses the most of the approached of WSN and IoT based positioning system.","PeriodicalId":321618,"journal":{"name":"International Journal of Advanced Smart Sensor Network Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advantages and Limits of free Space Optics","authors":"Sardar Ali","doi":"10.5121/IJASSN.2019.9301","DOIUrl":"https://doi.org/10.5121/IJASSN.2019.9301","url":null,"abstract":"Free space optics known as (FSO) is very popular now days this is because of increased demand for cheaper, faster and most important affordable internet. So many research scientists have taken the great interest in this field. FSO uses laser for transmitting data at the speed capable of reaching 2.5 Gbps through the air. And its systems use invisible infrared laser light wavelengths in the 780 nm to 1600 nm range. This article explains the FSO security, the transmission characteristics and also its challenges; although Free Space Optic systems can be a better solution for the needs of some broadband networking, there are limitations of bad climatic conditions that influence its performance such as fog, snow and too much rain can shut down the network. The performance of FSO is measured by Bit Error Rates (BER).","PeriodicalId":321618,"journal":{"name":"International Journal of Advanced Smart Sensor Network Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114339758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clustering Based Routing for Wireless Sensor Networks in Smart Grid Environment","authors":"L. Nassef, Reemah El-Habshi, L. Jose","doi":"10.5121/IJASSN.2018.8301","DOIUrl":"https://doi.org/10.5121/IJASSN.2018.8301","url":null,"abstract":"Wireless Sensor Networks (WSN) is widely deployed in different fields of applications of smart grid to provide reliable monitoring and controlling of the electric power grid. The objective of this paper is simulate and analyze impact of various smart grid environments on performance of four different WSN routing protocols namely the Low Energy Adaptive Clustering Hierarchy (LEACH) and Centralized LEACH (LEACT-C) as well as other two conventional protocols namely Minimum Transmission Energy (MTE) and Static Clustering. This analysis would be beneficial in making the correct choice of WSN routing protocols for various smart grid applications. The performance of the four protocols is simulated using NS-2 network simulation on Ubuntu. The results are analyzed and compared using number of data signals received at base station, energy consumption, and network lifetime as performance metrics. The results show that the performance of various protocols in the smart grid environments have deteriorated due log normal channel characteristics and consequently network lifetime have decreased significantly. The results also indicate that clustering based routing protocols have more advantageous over conventional protocols; MTE and static clustering. Also, centralized clustering approach is more effective as it distributes energy dissipation evenly throughout the sensor nodes which reduce energy consumption and prolong the networks’ lifetime. This approach is more effective in delivering data to base station because it has global knowledge of the location and energy of all the nodes in the network.","PeriodicalId":321618,"journal":{"name":"International Journal of Advanced Smart Sensor Network Systems","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131512803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}