Power Minimization Through Packet Retention in Cognitive Radio Sensor Networks Under Interference and Delay Constraints: An Optimal Stopping Approach

نویسندگان

  • Amr Y. Elnakeeb
  • Hany M. Elsayed
  • Mohamed M. Khairy
چکیده

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. Received on 07 June, 2015; accepted on 24 November, 2015; published on 05 April, 2016

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Hierarchy Topology Design Using a Hybrid Evolutionary Algorithm in Wireless Sensor Networks

Wireless sensor network a powerful network contains many wireless sensors with limited power resource, data processing, and transmission abilities. Wireless sensor capabilities including computational capacity, radio power, and memory capabilities are much limited. Moreover, to design a hierarchy topology, in addition to energy optimization, find an optimum clusters number and best location of ...

متن کامل

The Optimal MMSE Transceiver Design for IoT-oriented Cognitive Radio Systems

This paper studies interference alignment scheme and minimum mean square error (MMSE) improvement in Internet of Things (IoT)-oriented cognitive systems, where IoT devices share the licensed spectrum by cognitive radio in spectrum underlay. Target to manage the inter-tier interference caused by cognitive spectrum sharing as well as ensure an MMSE at receivers, the interference alignment algorit...

متن کامل

Self-Learning Power Control in Wireless Sensor Networks

Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for new mechanisms to improve spectrum management and energy efficiency, such as transmission power control. Existing protocols are based on simplistic...

متن کامل

Power Minimization Through Relay Subset Selection Inunderlay Cognitive Radio Networks

Submitted: May 9, 2013; Accepted: Jun 16, 2013; Published: Jun 30, 2013 Abstract: In this paper, we consider a dual-hop Cognitive Radio Networkthat consists of a secondary sourcedestination pair assisted by cognitive relays in their communication. The whole network is operating in an underlay mode near a primary user. Underlay networks allow simultaneous primary and secondary transmissions but ...

متن کامل

Genetic algorithm-based scheduling in cognitive radio networks under interference temperature constraints

The proliferation of wireless technologies and services has intensified the demand for the radio spectrum. However, the currently existing fixed spectrum assignment policy leads to an inefficient and unevenly distributed spectrum utilization. Cognitive radio paradigm has been proposed to alleviate these drawbacks by employing dynamic spectrum access (DSA) methodology. Federal Communications Com...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015