EE-LEACH: development of energy-efficient LEACH Protocol for data gathering in WSN

Gopi Saminathan Arumugam,Thirumurugan Ponnuchamy

doi:10.1186/s13638-015-0306-5

Gopi Saminathan Arumugam, Thirumurugan Ponnuchamy

Open Access

https://doi.org/10.1186/s13638-015-0306-5

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Abstract

A wireless sensor network (WSN) consists of a huge number of sensor nodes that are inadequate in energy, storage and processing power. One of the major tasks of the sensor nodes is the collection of data and forwarding the gathered data to the base station (BS). Hence, the network lifetime becomes the major criteria for effective design of the data gathering schemes in WSN. In this paper, an energy-efficient LEACH (EE-LEACH) Protocol for data gathering is introduced. It offers an energy-efficient routing in WSN based on the effective data ensemble and optimal clustering. In this system, a cluster head is elected for each clusters to minimize the energy dissipation of the sensor nodes and to optimize the resource utilization. The energy-efficient routing can be obtained by nodes which have the maximum residual energy. Hence, the highest residual energy nodes are selected to forward the data to BS. It helps to provide better packet delivery ratio with lesser energy utilization. The experimental results shows that the proposed EE-LEACH yields better performance than the existing energy-balanced routing protocol (EBRP) and LEACH Protocol in terms of better packet delivery ratio, lesser end-to-end delay and energy consumption. It is obviously proves that the proposed EE-LEACH can improve the network lifetime.

Highlights

A wireless sensor network (WSN) consists of a large number of small-sensor nodes used to monitor areas, collect and report data to the base station (BS)
A typical WSN is composed of a huge number of sensor nodes, which are randomly disseminated over the network
5 Conclusion and future work In this paper, an energy-efficient Low energy adaptive clustering hierarchy (LEACH) Protocol is presented to improve the lifetime of the sensor network

Summary

Introduction

A wireless sensor network (WSN) consists of a large number of small-sensor nodes used to monitor areas, collect and report data to the base station (BS). Data gathering is an efficient method for conserving energy in sensor networks. Yao et al introduced an energy-efficient, delay-aware and lifetime-balancing data collection protocol for WSN This method proposed both a centralized heuristic to make the algorithm scalable for huge-scale network operations [6]. Liu et al [11] adopt a power-law decaying-data model verified by real datasets and proposed a random projection-based estimation algorithm for this data model This method needs only fewer measurements, which reduces the number of sensor readings for each measurement. Dhilip et al proposed an energy-efficient clustering and data aggregation protocol for the heterogeneous WSN. A mixed-integer linearprogramming model was used to calculate the BS and CH position and the data flow in the network area This method utilizes both the energy and position of the sensor for selecting the CH. A hybrid method with forwarding and replication was presented to speed up the learning process according to the traffic pattern [28]

Topology construction

Conclusion and future work