Resource allocation for data gathering in UAV-aided wireless sensor networks

Zanjie Huang, Hiroki Nishiyama, Nei Kato, Fumie Ono, Ryu Miura, Baohua Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

As the development of unmanned aerial vehicle (UAV) communication in the residential and commercial areas, different from the traditional wireless sensor networks (WSNs), in this paper we consider a two-layer wireless networks for data gathering, one is sensor nodes to UAVs layer, the other one is UAVs to the outside layer. The sensor nodes sense data and transmit to UAVs, and then UAVs send data to the outside. In this paper, we only focus on the first layer, and we suppose the capacity is sufficient for UAVs to transmit their gathered data in the second layer. The sensor nodes aim to maximize the total data transmitting rate. Because of the limited resources (i.e. limited bandwidth, limited energy of each node, and so on) in the system, thus how to allocate the limited resources to maximize the total data transmitting rate is challenging, and it is necessary to propose an efficient algorithm to allocate the resources. We formulate the problem that jointly considers bandwidth allocation and energy allocation to maximize the total transmitting rate while guarantees the rate in each time slot for each sensor node. Then an optimal algorithm based on dynamic programming named DPBA is proposed. Finally, we conduct the extensive simulation to compare our proposed algorithm and the benchmark algorithm (i.e. equal resource allocation algorithm, denoted by ERAA). Simulation results show that our proposed algorithm outperforms the benchmark algorithm.

Original languageEnglish
Title of host publicationProceedings of 2014 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2014
EditorsJun Guo, Jie Yang, Weining Wang, Lin Zhang, Xin Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-16
Number of pages6
ISBN (Electronic)9781479947362
DOIs
Publication statusPublished - 2014 Dec 30
Event2014 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2014 - Beijing, China
Duration: 2014 Sep 192014 Sep 21

Publication series

NameProceedings of 2014 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2014

Other

Other2014 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2014
Country/TerritoryChina
CityBeijing
Period14/9/1914/9/21

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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