scholarly journals Probabilistic security analysis through path-based metric evaluation in wireless sensor networks

2018 ◽  
Vol 7 (2.8) ◽  
pp. 149
Author(s):  
Sampath Kumar Pattem ◽  
Jayasankar K ◽  
Sumalatha V
Keyword(s):  
Wireless Sensor Networks ◽  
Comparative Analysis ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Network Topology ◽  
Optimal Path ◽  
Security Analysis ◽  
Path Selection ◽  
Wireless Sensor ◽  
Security Threats

This paper analyzes the possible security threats in the wireless sensor network (WSN) through the path based metrics. Since the routing in WSN focuses towards the energy optimizing by which an optimal path is selected which consumes less energy. However security is also very important in WSN which won’t considers in the optimal path selection. This paper analyzes the possible security threats based on the characteristics of paths. A simple comparative analysis is carried out in this paper between different topologies of network through the path based metrics. Since there exists number of path metrics, some metrics are categorized as decisive and some are assistive and based on the obtained count, one network topology is finalized as more secure. Matlab is used for the Realization of this methodology.

scholarly journals SSAAR: Enhanced Spatial Reusability for Optimal Path Selection in Wireless Sensor Networks

2017 ◽  
Vol 10 (34) ◽  
pp. 1-6
Author(s):  
R. Deepthi ◽  
D. Sai Eswari ◽  
Afreen Rafiq ◽  
K. Srinivas ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Optimal Path ◽  
Path Selection ◽  
Wireless Sensor ◽  
Spatial Reusability

Localization-Based Clustered Key Management in Wireless Sensor Network

2012 ◽  
Vol 482-484 ◽  
pp. 252-255
Author(s):  
Xi Yuan Ma ◽  
Shu Mei Fan ◽  
Myong Soon Park
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Network Security ◽  
Heterogeneous Networks ◽  
Key Management ◽  
Secure Communication ◽  
Security Analysis ◽  
Wireless Sensor ◽  
The Common

Wireless Sensor Networks (WSNs) are usually subjected to numerous threats and vulnerable to various attacks. Generally, the key management is considered to be the prerequisite for secure communication in WSNs. In this paper, we present a Localization-based Clustered Key Management (LCKM) which can efficiently enhance the network security and survivability for the clustered heterogeneous networks. LCKM utilizes the seeds to rekey and then localize the key materials, which protects the network from the compromised nodes by reducing the probability of the common key. The security analysis proves that LCKM can prevent more attacks than other protocols.

scholarly journals A Comprehensive Analysis of ACO for Wireless Sensor Network Routing

2020 ◽  
Vol 9 (6) ◽  
pp. 547-551
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Greedy Algorithm ◽  
Network Lifetime ◽  
Heuristic Algorithms ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Path Selection ◽  
Wireless Sensor ◽  
Route Management

The proliferations of IoT technologies and applications have led to an increased interest in Wireless Sensor Networks (and in particular, multi-hop networks). Wireless sensor networks are composed of small mobile terminals which have limited system resources. Due to this, these networks are vulnerable to changes in network status arising from changes in the network parameters such as, position / layout of sensors, signal strength, environmental conditions, etc. In addition, the network nodes are also constrained in terms of energy provided by the battery. It is an significant consideration to be accounted so as to prolong their operational time, since this adds to the network lifetime. Lot of research has gone into routing and transmission technologies for wireless sensor networks. Conventional routing mechanisms for WSNs still suffer from energy-hole problem caused by difficulties in adaptive route management. Thus, it is imperative that efficient routing mechanisms be developed in order to conserve energy and improve network lifetime. One popular approach is to use meta-heuristic algorithms for optimal path selection in a WSN route management system. A very popular meta-heuristic algorithm used for this objective is the Ant Colony Optimization (ACO) algorithms. ACO has been used as a base for many routing management systems. In this paper an extensive analysis of the performance of ACO based route selection mechanism is reported and also reporting a comparative analysis of efficacy of the ACO routing algorithm over the standard Greedy algorithm in finding routes with different count of sensor nodes and different count of ants. Then find that the ACO routing algorithm outdoes the Greedy algorithm with respect to the number of routes identified.

scholarly journals Energy Efficient Auto–Configurable Algorithm for Wireless Sensor Networks

2015 ◽  
Vol 66 (3) ◽  
pp. 149-153
Author(s):  
Mohammad Rokon Uddin ◽  
Mohammad Abdul Matin ◽  
Mohammad Kamal Hossain Foraji ◽  
Baizid Hossain
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Power Consumption ◽  
Sensor Network ◽  
Network Topology ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Lower Power ◽  
Cellular Architecture

Abstract This paper proposed an auto-configurable algorithm for wireless sensor network (WSN) to efficiently re-organize the network topology. The auto-configurable algorithm is based on self- configurable cellular architecture and it has been observed from simulation result that the proposed algorithm achieves lower power consumption than the existing one.

scholarly journals WOAPR: an affinity propagation based clustering and optimal path selection for time‐critical wireless sensor networks

IET Networks ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 100-106 ◽  
Author(s):  
Krishnan Sakthidasan ◽  
Natarajan Vasudevan ◽  
Paramesvarane Kumara Guru Diderot ◽  
Chellakkutti Kadhiravan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Optimal Path ◽  
Path Selection ◽  
Affinity Propagation ◽  
Wireless Sensor ◽  
Selection For ◽  
Time Critical

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 .

The Security Mechanism for Wireless Sensor Networks

2012 ◽  
Vol 256-259 ◽  
pp. 2392-2395
Author(s):  
Feng Gao ◽  
Zhi Hua Hu
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Wireless Communication ◽  
Communication Technology ◽  
Rapid Development ◽  
Communication Process ◽  
Wireless Sensor ◽  
Security Threats ◽  
Microelectronics Technology

In recent years, with advances in microelectronics technology and wireless communication technology which promote the rapid development of low power, low price, multifunction sensor, and it also contributed to the development of wireless sensor networks. Wireless sensor network can be used in military, medical and commercial areas. This paper mainly described the characteristics of wireless sensor networks, security threats in the communication process and analyzed its security needs of taking security mechanisms to ensure the security of wireless communications.

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