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access icon free Prolonging smart grid network lifetime through optimising number of sensor nodes and packet length

  • Author(s): Mohamed Elwekeil 1, 2 ; Mohamed S. Abdalzaher 3 ; Karim Seddik 4
    • View affiliations
  • Source: Volume 13, Issue 16, 08 October 2019, p. 2478 – 2484
    DOI:  10.1049/iet-com.2018.6272 , Print ISSN 1751-8628, Online ISSN 1751-8636
© The Institution of Engineering and Technology
Received 24/12/2018, Accepted 17/06/2019, Revised 02/05/2019, Published 18/06/2019

In the era of internet-of-things (IoT), many applications utilise wireless sensor networks (WSNs) including smart grids (SGs). Designing WSNs to fulfill the SGs requirements imposes some challenges such as limited power and signal propagation impairments, especially, in harsh environments. Consequently, saving power consumption in WSNs-based SGs is among the most significant challenges. The total power required at a certain sensor depends on two main parameters: the packet length and inter-node distance. This paper investigates the optimal packet length and inter-node distance to be utilised in a SG over six different environments aiming at maximising the network lifetime. The investigation is based on a link-layer model using Tmote Sky nodes taking into consideration the six environments impact. A mixed-integer programming (MIP) model is utilised to determine the best packet length and number of nodes for maximising the network lifetime. This model analyses the performance of maximum SG network lifetime over those environments and addresses the inter-node distance effect on the network lifetime maximisation. Simulation results show that decreasing the number of nodes covering a certain area is preferable to prolonging the network lifetime. Furthermore, for the considered models, the longer the packet length is, the longer the network lifetime will be.

Inspec keywords: wireless sensor networks; smart power grids; integer programming

Other keywords: sensor nodes; optimising number; inter-node distance effect; wireless sensor networks; SG requirements; different environments; significant challenges; WSNs-based SG; environments impact; signal propagation impairments; smart grid network lifetime; optimal packet length; harsh environments; power consumption; maximum SG network lifetime; total power; mixed-integer programming model; network lifetime maximisation

Subjects: Radio links and equipment; Wireless sensor networks; Reliability; Optimisation techniques; Sensing devices and transducers

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