ELSA: Energy-Efficient Linear Sensor Architecture for Smart City Applications

Khalid J. Almalki, Abdoh Jabbari, Kaushik Ayinala, Sanghak Sung, Baek Young Choi, Sejun Song

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A network of sensors and surveillance devices creates a critical infrastructure in smart cities, enabling civic authorities to render faster and more efficient services. Notably, many deployed sensor applications form linear topologies, such as road monitoring sensors (e.g., intelligent lighting, road traffic, pedestrians, etc.), railway track sensors, and pipeline sensors (e.g., sensing leaks, pressure, etc.). These linear sensors convey data to a central control station by daisy-chaining through neighbor sensors. However, it causes critical energy inefficiency and imbalance issues and creates data transmission delay, which provokes complex application and service management hassles. In this paper, we propose an Energy-Efficient Linear Sensor Architecture (ELSA) for building sensor network infrastructure of Smart Cities. We design and develop an energy-efficient Wake-up Receiving (WuRx) method on sensor nodes by using a dual-channel, an infrared (IR) based WuRx channel over a WiFi data channel to enhance the duty cycle efficiency. In addition, we build a pipelined relay algorithm to avoid any network delay performance degradation. Furthermore, we design a centrality-based algorithm to identify linear sensor networks. The experimental results show that IR WuRx ELSA performed nearly ten times better energy efficiency per node and achieved a constant network delay regardless of the number of relaying nodes in a network.

Original languageEnglish (US)
Pages (from-to)7074-7083
Number of pages10
JournalIEEE Sensors Journal
Volume22
Issue number7
DOIs
StatePublished - Apr 1 2022
Externally publishedYes

Keywords

  • centrality
  • delay
  • energy efficiency
  • IoT
  • linear architecture
  • WSN

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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