A Fast Multi-objective Genetic Algorithm based Approach for Energy Efficient QoS-Routing in Two-tiered Wireless Multimedia Sensor Networks | Zendy

Gholamhossein Ekbatanifard | Zendy; Reza Monsefi | Zendy

Open Access

A Fast Multi-objective Genetic Algorithm based Approach for Energy Efficient QoS-Routing in Two-tiered Wireless Multimedia Sensor Networks

Author(s) -

Gholamhossein Ekbatanifard,

Reza Monsefi

Publication year - 2010

Publication title -

modern applied science

Language(s) - English

Resource type - Journals

eISSN - 1913-1852

pISSN - 1913-1844

DOI - 10.5539/mas.v4n6p101

Subject(s) - computer science , quality of service , computer network , relay , wireless sensor network , routing protocol , energy consumption , distributed computing , routing (electronic design automation) , power (physics) , ecology , physics , quantum mechanics , biology

Abstract

With the growing demand for real time services in wireless sensor networks (WSNs), quality of service (QoS) based routing has emerged as an interesting research topic. But offering some QoS guarantee in sensor networks raises significant challenges. The network needs to cope with battery constraints, while providing QoS (end-to-end delay and reliability) guarantees. Designing such QoS routing protocols that optimize multiple objectives is computationally intractable. Higher power relay nodes can be used as cluster heads in a two-tiered WSN and these relay nodes may form a network among themselves to route data towards the sink. In this model, the QoS guarantee is determined mainly by these relay nodes. In this paper a solution based on NSGA-II is proposed for energy efficient QoS routing in two-tiered WSNs. Simulation results demonstrate that the proposed protocol outperforms network performance by optimizing multiple QoS parameters and energy consumption.

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