OVERVIEW OF CHAMELEON MECHANISM IN B-MAC PROTOCOL FOR WSN

Wireless Sensor Networks (WSN) is gaining the interest of researchers due to numerous applications. WSN consists of sensor nodes connected with wireless technology to form a network. The sensor devices powered by the battery and collect the data from the environment and send to a base station. In the wireless sensor network, the topology changes frequently due to sensor nodes. The aforementioned behavior emphasis the impact of the MAC protocol mechanism in the performances of WSN. In recent years, the analysis of WSN MAC protocols and their impact on the performances of the network with different network scenarios has significantly developed a precise understanding of the requirements and goals for designing a MAC protocol. In the literature, many MAC protocol mechanisms are proposed to deal with WSN requirements. Nonetheless, proposed MAC mechanisms in the literature considered a single network scenario in WSN. However, the sensor nodes face some problems like the failure, addition, energy depletion, and movement which leads to different scenarios. The adhered behavior of WSN nodes results in a need for a MAC mechanism that addresses the requirement of more than one network scenarios. This paper, proposes a chameleon mechanism for MAC protocol to tackle topology changes in WSN. The proposed mechanism defines the performances of a MAC protocol in different network scenarios as a single and multiple objectives optimization problems. Further, a simulation implementation of the two methods above are presented. The discrete event simulator OMNET++5 and the INET3.5 modules are used for the simulation purposes in this work for their advantages in simulating wireless sensor network protocols and networks. The obtained results show that chameleon mechanism B-MAC reduce the power consumption of WSN for hybrid scenario.

[1]  Mohamed Elhoseny,et al.  Highly Reliable and Low-Complexity Image Compression Scheme Using Neighborhood Correlation Sequence Algorithm in WSN , 2020, IEEE Transactions on Reliability.

[2]  Yuebin Bai,et al.  CANeleon: Protecting CAN Bus With Frame ID Chameleon , 2020, IEEE Transactions on Vehicular Technology.

[3]  Reza Fotohi,et al.  A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms , 2020, The Journal of Supercomputing.

[4]  Ong Bi Lynn,et al.  Power Consumption Optimization Based on B-MAC Protocol for Multi-Scenario WSN by Taguchi Method , 2017 .

[5]  Ong Bi Lynn,et al.  Optimization of B-MAC Protocol for Multi-scenario WSN by Differential Evolution Algorithm , 2017 .

[6]  Luning Xia,et al.  Improved Chameleon: A Lightweight Method for Identity Verification in Near Field Communication , 2016, 2016 International Symposium on Computer, Consumer and Control (IS3C).

[7]  Marina Papatriantafilou,et al.  Chameleon-MAC: Adaptive and Self-* Algorithms for Media Access Control in Mobile Ad Hoc Networks , 2010, SSS.

[8]  Koen Langendoen,et al.  Chamaeleon — Exploiting multiple channels to mitigate interference , 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

[9]  M. Elshaikh THE IMPACT OF INNER-PARAMETERS B-MAC PROTOCOL BY TAGUCHI METHOD FOR WSN , 2020 .

[10]  Trong-The Nguyen,et al.  A Hybrid Improved MVO and FNN for Identifying Collected Data Failure in Cluster Heads in WSN , 2020, IEEE Access.