Abstract

Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In this paper, a joint energy and time resource allocation problem for the cognitive users (CUs) in a non-selfish symbiotic cognitive relaying scheme (NSCRS) is considered. We aim to maximize the total energy efficiency (EE) of the primary user and CUs with the consideration of information privacy under the total energy constraints of CUs. With full channel state information (CSI), an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. Besides, in order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the partial instantaneous CSI is required, is additionally proposed. Simulation results demonstrate the EE of primary and CUs in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

Highlights

  • 1 Introduction Recently, the wireless sensor network (WSN) with privacy preserving has been widely considered in the civilian fields [1, 2]

  • It is assumed that the access point (AP) will broadcast the artificial noise (AN), which is known at the PUd, in conventional cognitive radio scheme (CCR)

  • 3.2 Problem formulation for non-selfish symbiotic cognitive relaying scheme (NSCRS) with privacy preserving In this paper, we aim to maximize the energy efficiency of NSCRS through optimally allocating the time and energy resource of Primary user (PU) and cognitive users (CUs)

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Summary

Introduction

The wireless sensor network (WSN) with privacy preserving has been widely considered in the civilian fields [1, 2]. Due to the limited power supply for sensor nodes, energy efficiency of relay assisted WSN has attracted more and more attention [3, 4]. Owing to better spectrum efficiency via relays with cognitive function, the radio resource management for EE of cognitive relay assisted WSN with privacy preserving is valuable for researching. Owing to a larger service coverage and a higher system capacity at a relatively low deployment cost, relays had been widely considered into WSN to prolong the lifetime of network [5,6,7,8,9,10]. In [12], a three-layered architecture was proposed for randomly deployed heterogeneous wireless sensor networks, where a minimum

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