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Title: Swarm Intelligence-based Partitioned Recovery in Wireless Sensor Networks, Journal of Telecommunications and Information Technology, 2018, nr 3

Creator:

Kumar, Gaurav ; Ranga, Virender

Date:

2018, nr 3

Resource Type:

artykuł

Description:

The failure rate of sensor nodes in Heterogeneous Wireless Sensor Networks is high due to the use of low battery-powered sensor nodes in a hostile environment. Networks of this kind become non-operational and turn into disjoint segmented networks due to large-scale failures of sensor nodes. This may require the placement of additional highpower relay nodes. In this paper, we propose a network partition recovery solution called Grey Wolf, which is an optimizer algorithm for repairing segmented heterogeneous wireless sensor networks. The proposed solution provides not only strong bi-connectivity in the damaged area, but also distributes traffic load among the multiple deployed nodes to enhance the repaired network’s lifetime. The experiment results show that the Grey Wolf algorithm offers a considerable performance advantage over other state-of-the-art approaches.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2044

Source:

Journal of Telekommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

wireless sensor networks relay node placement connectivity restoration meta-heuristics

Object collections:

Last modified:

Apr 15, 2019

In our library since:

Oct 29, 2018

Number of object content hits:

54

All available object's versions:

https://bc.itl.waw.pl/publication/2328

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Edition name Date
Kumar Gaurav; Ranga Virender, Swarm Intelligence-based Partitioned Recovery in Wireless Sensor Networks, Journal of Telecommunications and Information Technology, 2018, nr 3 Apr 15, 2019

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