Cross layer-based modified virtual backoff algorithm for wireless sensor networks
by Palamakula Ramesh Babu; P. Venkata Krishna
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 4, No. 4, 2018

Abstract: For more than a decade, there is a tremendous improvement in the usage of wireless sensor networks in various applications. The network operation is guaranteed to be effective and fruitful with efficient MAC protocol. Hence, this paper proposes the cross layer-based virtual backoff algorithm (CLM-VBA). The cross layer architecture is designed in this paper which involves three layers: physical layer, MAC layer and network layer. The priority is given to the neighbouring nodes which are determined using the cross layer architecture. Two different counters are maintained to keep track of number of accesses and number of attempts along with sequence number. The delay sensitive applications are given preference when compared to the delay insensitive applications. Sleep mode is used for each node in order to conserve energy at each node. A buffer is maintained at each node in order to improve the performance of the system. The proposed algorithm CLM-VBA is compared with VBA, S-MAC and M-VBA in terms of delay, packet delivery ratio, energy consumption and number of collisions and proved to be better.

Online publication date: Thu, 11-Oct-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Systems Engineering (IJCSYSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com