Research Article
Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach
@ARTICLE{10.4108/eai.5-4-2016.151144, author={Amr Y. Elnakeeb and Hany M. Elsayed and Mohamed M. Khairy}, title={Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={2}, number={6}, publisher={EAI}, journal_a={COGCOM}, year={2016}, month={4}, keywords={cognitive radio, sensor network, optimal stopping rule}, doi={10.4108/eai.5-4-2016.151144} }- Amr Y. Elnakeeb
Hany M. Elsayed
Mohamed M. Khairy
Year: 2016
Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach
COGCOM
EAI
DOI: 10.4108/eai.5-4-2016.151144
Abstract
The aim of this article is twofold: First, we study the problem of packets retention in a queue with the aim of minimizing transmission power in delay-tolerant applications. The problem is classified as an optimal stopping problem. The optimal stopping rule has been derived as well. Optimal number of released packets is determined in each round through an Integer Linear Programming (ILP) optimization problem. This transmission paradigm is tested via simulations in an interference-free environment leading to a significant reduction in transmission power (at least 55%). Second, we address the problem of applying the scheme of packets retention through the Optimal Stopping Policy (OSP) to underlay Cognitive Radio Sensor Networks (CRSNs) where strict interference threshold does exist. Simulations proved that our scheme outperforms traditional transmission method as far as dropped packet rate and Average Power per Transmitted Packet (APTP) are concerned.
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