scholarly journals An energy efficient light weight security protocol for optimal resource provenance in wireless sensor networks

2020 ◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Security Protocol ◽  
Wireless Sensor ◽  
Light Weight ◽  
Optimal Resource

scholarly journals Implementation of Secure Energy Efficient Network Priority Routing(SEENPR) Protocol with Secure Key Management in WSN

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3096-3103
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Routing Protocol ◽  
Key Management ◽  
Energy Efficient ◽  
Security Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life

Wireless sensor networks (WSNs) consist of sensor nodes, which act as source and link nodes through which the data forward to sink node. However, the nodes in network have limited computation complexity, transmission capability and restricted battery life. Several routing protocols are available to improve the performance of network but very few concentrates on security issues. The performance of routing and security protocol in WSN affect due to unreliable low power links, insecure communication, threats, and resource limitations which limits the design of an efficient routing and security algorithm in wireless sensor networks. In this paper, we propose a secure energy efficient routing protocol with effective data collection and key management in dynamic WSN. The routing protocol prolongs network lifetime and minimizes energy consumption. The routing protocol implement with A* algorithm and security improve with EECLDSA (Enhanced Elliptic Curve Logic Discrete Algorithm). The combined Secure Energy Efficient Network Priority Routing (SEENPR) apply for effective data collection and key management in WSNs. SEENPR uses k-means algorithm to improve cluster head (CH) selection using Euclidean distance. The SEENPR implement in testbed to evaluate performance with respect to security and key management.

A New Energy-Efficient Hybrid and Clustering Routing for Wireless Sensor Networks

2017 ◽  
Vol 7 (3) ◽  
pp. 176
Author(s):  
Muneer Bani Yassein ◽  
Yaser Khamayseh ◽  
Ismail Hmeidi ◽  
Ahmed Al-Dubai ◽  
Mohammed Al-Maolegi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
New Energy

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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