scholarly journals A Novel Secret Location Sharing Scheme for Wireless Sensor Network

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Monjul Saikia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Implementation Process ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Area ◽  
Location Sharing ◽  
Sharing Scheme

The wireless sensor network is a collection of sensor nodes that operate collectively to gather sensitive data from a target area. In the process of data collection the location of sensor nodes from where data is originated matters for taking any decision at the base station. Location i.e. the coordinates of a sensor node need to be shared among other nodes in many circumstances such as in key distribution phase, during routing of packets and many more. Secrecy of the location of every sensor node is important in any such cases. Therefore, there must be a location sharing scheme that facilitates the sharing of location among sensor nodes securely. In this paper, we have proposed a novel secure and robust mechanism for location sharing scheme using 2-threshold secret sharing scheme. The implementation process of the proposed model is shown here along with results and analysis.

scholarly journals RANCANG BANGUN WIRELESS SENSOR NETWORK PERINGATAN DINI LONGSOR BERBASIS MIKROKONTROLER

Electrician ◽  
2019 ◽  
Vol 13 (3) ◽  
pp. 70-75
Author(s):  
Denny Nugroho ◽  
Rudi Uswarman
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Warning System ◽  
Base Station ◽  
Vibration Sensor ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Landslide Early Warning ◽  
Soil Movements

Intisari — Bencana alam seperti gerakan tanah atau longsor dapat terjadi pada berbagai skala dan kecepatan. Untuk meminimalkan kerugian akibat bencana tersebut maka dilakukan usaha mengenal tanda-tanda yang mengawali gerakan tanah, atau disebut sebagai mitigasi. Penelitian ini dilakukan untuk merancang wireless sensor network yang mampu mengidentifikasi bencana longsor. Node sensor terdiri dari: sensor getaran, sensor kemiringan lahan, sensor pergeseran lahan, kontroler, dan modul transmisi data. Node-node sensor ini ditanam pada daerah yang rawan longsor dan saling berkomunikasi antara node satu dengan lainnya. Data-data berupa getaran, kemiringan lahan, dan status selalu ditransmisikan ke base station sistem peringatan dini longsor secara realtime. Ketika bencana longsor akan segera terjadi node sensor diharapkan mampu mendeteksi dan mengaktifkan alarm yang ada pada node sensor serta mengirimkan tanda bahaya ke base station. Kata Kunci — longsor, wireless sensor network, node sensor, mikrokontroler   Abstrak — Natural disasters such as land movements or landslides can occur at various scales and speeds. To minimize damages due to the disaster, an effort is made to recognize the signs that initiate soil movements or referred to as mitigation. This research was conducted to design a wireless sensor network that can identify landslides. Sensor nodes consist of vibration sensor, slope sensor, land shift sensor, controller, and data transmission module. These sensor nodes are planted in areas inclined to landslides and communicate with each other between nodes. The data vibration, the slope of the land, and status are always transmitted to the base station of the landslide early warning system in real time. When an landslide will occur soon the sensor node is expected to be able to detect and activate the alarm on the sensor node and send an signal to the base station. Keyword — landslides, wireless sensor networks, sensor nodes, microcontrollers

scholarly journals Confidentiality Protecting Hierarchical Concealed Data Aggregation for Wireless Sensor Network using Privacy Homomorphism

2019 ◽  
Vol 8 (2) ◽  
pp. 3366-3371
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Sensor Node ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sense Data ◽  
Save Energy ◽  
Concealed Data Aggregation

A Wireless Sensor Network is a set of sensor nodes that are integrated with a physical environment. This tiny sensor node capable of sensing physical phenomena and it can process the sense data. Sensor nodes radio range is short so they transfer data in a multihop manner to form network which will send network activities to base station. Data transmission consumes much more energy than computation. So to overcome this problem data aggregation technique can be useful. This approach reduces energy consumption by avoiding repeated data. Security in wireless sensor network is also one of the important issues. Some properties of a WSN make it more harmed by certain types of attackers, compared to traditional wired network. Furthermore, constrained devices create their own problems for wireless sensor network. As sensor node is powered by batteries and node required lot of energy to perform some complex computation. So it is important to prevent every node in computation process which will save energy to gain longer network life. The focus of this work is provides confidentiality protecting hierarchical concealed data aggregation for WSN using privacy homomorphism. End to End Homomorphic Paillier cryptoscheme is used to achieve proposed approach.

ROUTING PATH OPTIMIZAION TO MAXIMIZE THE LIFETIME OF WIRELESS SENSOR NETWORK

2009 ◽  
Vol 16 (06) ◽  
pp. 509-520
Author(s):  
P. MANJUNATHA ◽  
A. K. VERMA ◽  
A. SRIVIDYA
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Sensor Node ◽  
Minimum Energy ◽  
Life Time ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Wireless sensor network (WSN) consists of a large number of sensor nodes which are able to sense their environment and communicate with each other using wireless interface. However these sensor nodes are constrained in energy capacity. The lifetimes of sensor node and sensor network mainly depends upon these energy resources. To increase the life time of sensor network, many approaches have been proposed to optimize the energy usage. All these proposed protocols mainly use minimum hop or minimum energy path. Continuously using the shortest path will deplete energy of the nodes at a much faster rate and causes network partition. This paper proposes an energy efficient routing protocol to extend the network lifetime for delay constrained network. Each sensor node selects the optimized path for forwarding packets to the base station based on routing metrics. Proposed studies and simulation results shows that the protocol put forward in the paper can achieve higher network lifetime by striking a balance between the delay and power consumption in comparison to other routing protocols.

scholarly journals Wormhole Detection Mechanism in Wireless Sensor Networks

2020 ◽  
Vol 9 (2) ◽  
pp. 1845-1847
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Base Station ◽  
Sensor Nodes ◽  
Base Stations ◽  
Wireless Sensor ◽  
Health Care Environment ◽  
Detection Mechanism ◽  
Primary Base ◽  
Power And Energy

A Wireless Sensor Network (WSN) is a component with sensor nodes that continuously observes environmental circumstances. Sensor nodes accomplish different key operations like sensing temperature and distance. It has been used in many applications like computing, signal processing, and network selfconfiguration to expand network coverage and build up its scalability. The Unit of all these sensors that exhibit sensing and transmitting information will offer more information than those offered by autonomously operating sensors. Usually, the transmitting task is somewhat critical as there is a huge amount of data and sensors devices are restricted. Being the limited number of sensor devices the network is exposed to different types of attacks. The Traditional security mechanisms are not suitable for WSN as they are generally heavy and having limited number of nodes and also these mechanisms will not eliminate the risk of other attacks. WSN are most useful in different crucial domains such as health care, environment, industry, and security, military. For example, in a military operation, a wireless sensor network monitors various activities. If an event is detected, these sensor nodes sense that and report the data to the primary (base) station (called sink) by making communication with other nodes. To collect data from WSN base Stations are commonly used. Base stations have more resources (e.g. computation power and energy) compared to normal sensor nodes which include more or less such limitations. Aggregation points will gather the data from neighboring sensor nodes to combine the data and forward to master (base) stations, where the data will be further forwarded or processed to a processing center. In this manner, the energy can be preserved in WSN and the lifetime of network is expanded.

scholarly journals In-Situ Pipeline Monitoring System Design for Identifying and Locating Damaging Activities Based on Wireless Sensor Network

2020 ◽  
pp. 33-46
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring Methods ◽  
Pipeline Monitoring

Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.

scholarly journals An Exploration of Current Data Agglomeration Technique in Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 732-746
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Base Station ◽  
Current Data ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Communication Process ◽  
Wireless Sensor ◽  
Intermediate Node ◽  
Process Energy

Wireless sensor network plays prominently in various applications of the emerging advanced wireless technology such as smart homes, Commercial, defence sector and modern agriculture for effective communication. There are many issues and challenges involved during the communication process. Energy conservation is the major challenging matter and fascinates issue among the researchers. The reason for that, Wireless sensor network has ‘n’ number of sensor nodes to identify and recognize the data and send that data to the base station or sink through either directly or intermediate node. These nodes with poor energy create intricacy on the data rate or flow and substantially affect the lifespan of a wireless sensor network. To decrease energy utilization the sensor node has to neglect unnecessary received data from the neighbouring nodes prior to send the optimum data to the sink or another device. When a specific target is held in a particular sector, it can be identified by many sensors. To rectify such process this paper present Data agglomeration technique is one of the persuasive techniques in the neglecting unnecessary data and of improves energy efficiency and also it increases the lifetime of WSNs. The efficacious data aggregation paradigm can also decrease traffic in the network. This paper discussed various data agglomeration technique for efficient energy in WSN.

scholarly journals Desarrollo de un sistema inalámbrico escalable de medición de humedad del suelo en un cultivo de vid

2020 ◽  
pp. 20-30
Author(s):  
Ortega-Corral César ◽  
B. Ricardo Eaton-González ◽  
Florencio López Cruz ◽  
Laura Rocío, Díaz-Santana Rocha
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Precision Agriculture ◽  
Drip Irrigation ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless System ◽  
Different Depths

We present a wireless system applied to precision agriculture, made up of sensor nodes that measure soil moisture at different depths, applied to vine crops where drip irrigation is applied. The intention is to prepare a system for scaling, and to create a Wireless Sensor Network (WSN) that communicates by radio frequency with a base station (ET), so that the gathered data is stored locally and can be sent out an Internet gateway.

Design of a Wireless Sensor Network Node Based on STM32

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Communication Module ◽  
Design Factors

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.

Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

2013 ◽  
Vol 5 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Node ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Energy Efficient Routing

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.

Performance Analysis of Multi-Hop Routing Protocol With Optimized Grid-Based Clustering for Wireless Sensor Network

2020 ◽  
pp. 254-282
Author(s):  
Saloni Dhiman ◽  
Deepti Kakkar ◽  
Gurjot Kaur
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Performance Analysis ◽  
Sensor Network ◽  
Routing Protocol ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Grid Based

Wireless sensor networks (WSNs) consist of several sensor nodes (SNs) that are powered by battery, so their lifetime is limited, which ultimately affects the lifespan and hence performance of the overall networks. Till now many techniques have been developed to solve this problem of WSN. Clustering is among the effective technique used for increasing the network lifespan. In this chapter, analysis of multi-hop routing protocol based on grid clustering with different selection criteria is presented. For analysis, the network is divided into equal-sized grids where each grid corresponds to a cluster and is assigned with a grid head (GH) responsible for collecting data from each SN belonging to respective grid and transferring it to the base station (BS) using multi-hop routing. The performance of the network has been analyzed for different position of BS, different number of grids, and different number of SNs.

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