scholarly journals Novel Security Framework for Wireless Sensor Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 8666-8672
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Communication Systems ◽  
Scale Up ◽  
Life Time ◽  
Wireless Sensor ◽  
Battery Life ◽  
Mesh Topology ◽  
Power Battery

Today we can’t think communication systems without support of advancements made in computer technologies whereby it is a major achievement to realize the convergence of the technologies providing highly pervasive system. The communication systems evolved essentially from wired communications and grew to the current wireless communications. Wireless sensor networks do not need large deployment infrastructure. Here each individual sensor node acts as a part of the overall infrastructure. All nodes are connected in multi-hop mesh topology. In this flexible mesh architecture, we easily add new nodes and scale up to achieve control and monitoring over larger region. The sensor network protocols and algorithms possess self-organizing capabilities. Wireless sensor network communication systems mostly being deployed in open fields are physically accessible to adversaries and are more vulnerable due to being remotely managed, densely deployed, low power (battery life time), low communication bandwidth, low processing capability, and use of only the broadcasting mechanism to communicate with other nodes[1].

Energy Efficient Image Compression and Transmission in WSN

2016 ◽  
pp. 67-78
Author(s):  
Wajeeha Aslam ◽  
Muazzam A. Khan ◽  
M. Usman Akram ◽  
Nazar Abbas Saqib ◽  
Seungmin Rho
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Image Compression ◽  
Sensor Network ◽  
Image Data ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life

Wireless sensor networks are greatly habituated in widespread applications but still yet step behind human intelligence and vision. The main reason is constraints of processing, energy consumptions and communication of image data over the sensor nodes. Wireless sensor network is a cooperative network of nodes called motes. Image compression and transmission over a wide ranged sensor network is an emerging challenge with respect to battery, life time constraints. It reduces communication latency and makes sensor network efficient with respect to energy consumption. In this paper we will have an analysis and comparative look on different image compression techniques in order to reduce computational load, memory requirements and enhance coding speed and image quality. Along with compression, different transmission methods will be discussed and analyzed with respect to energy consumption for better performance in wireless sensor networks.

Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks

2012 ◽  
pp. 267-282
Author(s):  
Sumeet Gupta ◽  
Shekhar Verma ◽  
G.S. Tomar ◽  
Raj Kumar Abrol
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Diagnostic System ◽  
Life Time ◽  
Wireless Sensor ◽  
Special Focus ◽  
Critical Design ◽  
Process Plant ◽  
Implementation Problems

Most of the application-oriented research in the field of Wireless Sensor Networks has been in remote monitoring, including environmental, building automation, and security. However, this paper presents the methodology followed for implementation of a Wireless Sensor Network based solution in a process plant for energy management and leak detection. The sensor network acquires data pertaining to detection of leakage in a plant. The network further serves effectively as a maintenance and diagnostic system that is used to manage the plant and conserve energy in a process plant. The critical design issues, testing methodologies and implementation problems pertaining to the system are also presented. Additionally, special focus has been placed on the calculations pertaining to the network life time.

scholarly journals A secure and energy saving protocol for wireless sensor networks

2021 ◽  
Vol 10 (6) ◽  
pp. 3353-3360
Author(s):  
Aso Ahmed Majeed ◽  
Baban Ahmed Mahmood ◽  
Ahmed Chalak Shakir
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Saving ◽  
Key Management ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Network Life Time ◽  
Time And Energy

The research domain for wireless sensor networks (WSN) has been extensively conducted due to innovative technologies and research directions that have come up addressing the usability of WSN under various schemes. This domain permits dependable tracking of a diversity of environments for both military and civil applications. The key management mechanism is a primary protocol for keeping the privacy and confidentiality of the data transmitted among different sensor nodes in WSNs. Since node's size is small; they are intrinsically limited by inadequate resources such as battery life-time and memory capacity. The proposed secure and energy saving protocol (SESP) for wireless sensor networks) has a significant impact on the overall network life-time and energy dissipation. To encrypt sent messsages, the SESP uses the public-key cryptography’s concept. It depends on sensor nodes' identities (IDs) to prevent the messages repeated; making security goals- authentication, confidentiality, integrity, availability, and freshness to be achieved. Finally, simulation results show that the proposed approach produced better energy consumption and network life-time compared to LEACH protocol; sensors are dead after 900 rounds in the proposed SESP protocol. While, in the low-energy adaptive clustering hierarchy (LEACH) scheme, the sensors are dead after 750 rounds.

Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks

2010 ◽  
Vol 2 (3) ◽  
pp. 44-59 ◽  
Author(s):  
Sumeet Gupta ◽  
Shekhar Verma ◽  
G.S. Tomar ◽  
Raj Kumar Abrol
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Diagnostic System ◽  
Life Time ◽  
Wireless Sensor ◽  
Special Focus ◽  
Critical Design ◽  
Process Plant ◽  
Implementation Problems

Most of the application-oriented research in the field of Wireless Sensor Networks has been in remote monitoring, including environmental, building automation, and security. However, this paper presents the methodology followed for implementation of a Wireless Sensor Network based solution in a process plant for energy management and leak detection. The sensor network acquires data pertaining to detection of leakage in a plant. The network further serves effectively as a maintenance and diagnostic system that is used to manage the plant and conserve energy in a process plant. The critical design issues, testing methodologies and implementation problems pertaining to the system are also presented. Additionally, special focus has been placed on the calculations pertaining to the network life time.

scholarly journals A REVIEW ON WIRELESS SENSOR NETWORK FOR ENERGY CONSUMPTION

2016 ◽  
Vol 2 (5) ◽  
Author(s):  
Shobha Kushwaha ◽  
Deepak Tomar ◽  
Kamlesh Chandravanshi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Storage ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Battery Lifetime ◽  
Important Concern ◽  
Spatially Distributed

A wireless sensors network (WSNs) is a collection of a large number of small, spatially distributed, and autonomous devices. These devices are known as sensor nodes. The Advancement in wireless communication leads to develop wireless sensor networks (WSN). It consists of small devices. These devices amass information by coordinating with each other. These tiny devices are known as a sensor node which consists of CPU (for data processing), memory (for data storage), battery (for energy) and transceiver (for receiving and sending signals or information from one node to further). The use of WSN is increasing day by day and at the same instance facing quandary of energy constraints in terms of short battery lifetime. Every node depends on the battery resource for assorted activities; this has becoming a most important concern in wireless sensor networks .so in this paper we are providing issues allied to sink repositioning that help to augment battery life time and also we provided information related to various approach for energy competent wsns.

scholarly journals AMPC: A Lightweight Hybrid Cryptographic Algorithm for Wireless Sensor Networks

2020 ◽  
Vol 5 (6) ◽  
pp. 1142-1146
Author(s):  
Md. Navid Bin Anwar ◽  
Maherin Mizan Maha
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Data Transmission ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Computational Time ◽  
Cryptographic Algorithm ◽  
Autonomous Sensor

Wireless sensor network (WSN) is a group of several autonomous sensor nodes attached to each other. Wireless sensor networks are commonly used in a lot of applications and are expected to have a cheap deployment cost. The network of sensors continues to grow aiding the need of the system. Due to that, sensors become vulnerable to attacks and need strong security mechanism. To strengthen the security of data which are transmitted through sensors in WSN, different cryptographic schemes are used. As WSN has limited energy source, therefore, complex cryptographic algorithms may require excessive computational time which not only make the data transmission slow but the life time of sensor network will be significantly affected. To overcome these challenges a new hybrid cryptographic scheme, AES and Modified Playfair Cipher (AMPC), is introduced in this paper.

scholarly journals A Novel Data Gathering Algorithm For Wireless Sensor Networks Using Artificial Intelligence

2021 ◽  
Author(s):  
Swapna Ch ◽  
Vijayashree R Budyal
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Optimal Path ◽  
Data Gathering ◽  
Mobile Element ◽  
Life Time ◽  
Wireless Sensor ◽  
Network Life Time

Abstract The most challenging task in wireless sensor network is energy efficiency, as energy is the major constraint in the wireless sensor network to improve the life time of the network. Hence developing algorithms to improve network life time is the major task. In wireless sensor network most of the energy is wasted while gathering the data, hence an efficient algorithm which conserves energy has to be designed. Thus our proposed work A Novel Data Gathering Algorithm for Wireless Sensor Networks using Artificial Intelligence (NDGAI) uses mobile element and deals with the conservation of energy while gathering the data. Appropriate clustering, cluster leader selection and proper path determination of mobile element helps to conserve energy and improve the over all network life time. In our proposed work initially the clusters are forged by using Amended Expectation Maximization(AEM) algorithm, which is the maximum likelihood estimate. It is used along with Gap statistic method to find the optimal number of clusters. AEM algorithm helps in obtaining the centres of the cluster with maximum number of nodes near the cluster centres. For each cluster, Cluster Leader (CL) is selected by using Fuzzy Logic. Fuzzy logic selects the node which is near to the cluster centre by using parameters such as Closeness of node to the Cluster Centroid, direction of node towards base station, number of Neighbouring Nodes. After the CL’s are determined, to reduce the path length virtual points(VP) are selected so that mobile element reaches this virtual point and collects the data. These VP’s are selected only when the CL has data in it. The mobile elements can reach these virtual points intelligently by using optimal path,that is obtained by using hybrid of Particle Swarm Optimization and Artificial Bee Colony algorithm. Thus the mobile element travels in the optimal path and gathers the data from the entire network intelligently and efficiently with less amount of energy. With this approach the performance and life time of the network is improved while gathering the data. The simulation results are compared with Scalable Grid-Based Data Gathering Algorithm for Environmental Monitoring Wireless Sensor Networks (SGBDN) and proved that the proposed method is better than SGBDN .

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