TY  - JOUR
T1  - Energy Efficient Polynomial Time Resource Channelized Framework for Data Communication in MANET
AU - Jayachitra, S. AU - Kennedy Babu, C. Nelson 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 12
SP  - 1987
EP  - 1995
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1987.1995
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1987.1995
KW  - Polynomial time
KW  -resource channelized
KW  -bandwidth allocation
KW  -geo-optimized
KW  -data delivery
KW  -load balancing
AB  - Energy efficient and bandwidth allocation on data forwarding in mobile ad hoc network have been extensively studied in the literature. However, such allocation models typically result in minimized bandwidth and involve high energy consumption with implementation complexity. In this study to improve the energy and bandwidth utilization, a framework called Energy Efficient Polynomial Time Resource Channelized (EE-PTRC) for data communication in MANET is introduced. The EE-PTRC includes two main parts. In the first part the resource conserved channels are evaluated by means of deploying bandwidth allocation strategy. Bandwidth allocation of the intermediate nodes, are calculated with traffic condition based on the channels and load balancing capacity (i.e., weight) of the geo-optimized route path. Polynomial Time Resource Conserved Channelized model is designed aiming at reducing the energy consumption and therefore minimizing the data delivery overhead. In Polynomial Time Resource model, the energy requirements for the intermediate nodes to deliver the data are summed together. The data delivery means are finally generated with both overall energy requirement and the bandwidth consumption rate. With this, the data communication framework maximizes the bandwidth utilization and data delivery rate and performs experimental evaluation on factors such as energy consumption, density of mobile nodes and data delivery overhead. Experimental analysis shows that EE-PTRC framework is able to reduce the data delivery overhead during data communication in MANET by x% and reduce the energy consumption by y% compared to the state-of-the-art works.
ER  -