A load balancing handoff algorithm based on RSSI and energy-aware in HAPs network

Author

Feifei An ; Yuwen Wang ; Fanji Meng

Author_Institution

Inst. of Astronaut. & Aeronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2013

fDate

5-8 Aug. 2013

Firstpage

1

Lastpage

6

Abstract

When high altitude platforms (HAPs) work as communication relay platforms, mobile terminals (MTs) generally make use of the handoff algorithm based on RSSI for handoff between HAPs. However, when several MTs send information to ground command center simultaneously, using the handoff algorithm based on RSSI will lead to HAPs with large received signal strength overload and HAPs with small received signal strength idle, putting HAPs network at risk of load imbalance and causing the phenomenon of congestion and packet loss, which thereby increases end-to-end delay and reduces packet delivery ratio. Aiming at the above problem and considering the limited energy of HAPs, a load balancing handoff algorithm based on RSSI and energy-aware in HAPs network is proposed. The simulation results obtained show that compared with the handoff algorithm based on RSSI, the proposed handoff algorithm can effectively balance network loads, reduce end-to-end delay and improve packet delivery ratio.

Keywords

high altitude stratospheric platforms; mobility management (mobile radio); relay networks (telecommunication); resource allocation; HAP network; MT; RSSI; communication relay platforms; end-to-end delay; energy-aware; ground command center; high altitude platforms; load balancing handoff algorithm; load imbalance; mobile terminals; packet delivery ratio; packet loss; Communication networks; Delays; Energy consumption; Energy measurement; Load management; Mobile communication; Relays; Energy-Aware; Handoff algorithm; High altitude platforms network; Load balancing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on

Conference_Location

KunMing

Type

conf

DOI

10.1109/ICSPCC.2013.6664145

Filename

6664145