Proposed Simulator Based on Developed Lightweight Authentication and Key Management Protocol for Wireless Sensor Network

Abstract

Recently, wireless sensor networks is considered as an important part of the life. It becomes wide spread in different applications, such as military, medical and environment. In this paper, a modified lightweight authentication and key management protocol for wireless sensor network is introduced, employing the technique of Elliptic Curve Cryptography with Diffie-Hellman. In addition, A designed simulator that simulate the phases of authentication starting from base station tell the last sensor node. This simulator is produced to tackle the problem of lightweight protocol absence in the well-known simulators, such as NS2 and NS3. The modified protocol and the presented simulator are tested over different scenarios and the obtained results show the superior performance of them. Moreover, the results illustrate the high accuracy of the simulator and benefits of the modification on the lightweight protocol.

Increase the WSN-Lifespan Used in Monitoring Forest Fires by PSO

“…WSNs are autonomous, geographically scattered sensor nodes that operate cooperatively to gather, process, and transmit data from the target region to a sink define as Base Station (BS). Recent advancements in electronics manufacturing technologies and the relatively low cost of sensor manufacturing have resulted in various applications in a variety of industries, including military, disaster management, health, and industrial [1], etc., that have generated considerable interest in WSNs. However, the primary disadvantage of WSNs is their dependency on finite batteries as their primary source of energy, which are difficult to replace in remote regions; Despite the fact that many new technologies have emerged in WSNs that allow sensor batteries to be charged using solar energy, it is difficult to utilize these technologies in dark or semi-dark places such as dense forests due to the limits of accessing the sunlight to the sensors that are placed on the ground or near, because of the density of trees in these areas [2][3][4].…”

A cognitive key management technique for energy efficiency and scalability in securing the sensor nodes in the IoT environment: CKMT

“…Currently available sensors are more prone to a scarcity of energy resources due to the computational cost during the transmission of data [4][5][6]. Efficient key management help combat huge energy consumption by lowering the computational cost that is required during data transmission [7][8][9]. We have examined lots of challenges in this issue and they can be overcome by the new key management scheme that we proposed here.…”