Abstract

Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks

Highlights

  • Through technological advances in recent decades, society rapidly comes closer to an ubiquitous information systems era, composed of many digital distributed systems in our physical environment

  • By considering half of the nodes being alive (HNA) metric, Weighted Route Selection (WeRoS) carries out a HNA increase of approximately 85%, 67%, 56% and 37% on average compared to Low Energy Adaptive Clustering Hierarchy (LEACH), LEACH-C, eLEACH, and Hybrid EnergyEfficient Distributed (HEED)

  • WeRoS increases the amount of delivered data by 76%, 57%, 51% and 33% comparing to LEACH, LEACH-C, e-LEACH and HEED, respectively

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Summary

Introduction

Through technological advances in recent decades, society rapidly comes closer to an ubiquitous information systems era, composed of many digital distributed systems in our physical environment. Sensor networks operation in a self-configured ad-hoc network and standalone mode became indispensable This requires a well-organized network architecture in which the "next-hop" data transmission range toward the Base Station (BS) should be minimal as possible, with nodes autonomous decisions. The CH selection method becomes a main key in the clustering process [11] It has to ensure load balancing and a good geographical CH distribution in the network. In the data transmission phase, a self-scheduling algorithm named "Binary Greedy Forwarding" is proposed It consists of designing an adjacency table between CHs in order to establish communication between CHs and BS. The data routing is based on the construction of "elementary path" which passes only one time through a CH to address the energy hole problem To implement these features, we introduce a weight at each node.

Related works
Weighted Route Selection in Cluster-Based Protocol
Energy model
Intra-cluster communication
Inter-cluster communication
Simulation parameters
Network lifetime
Coefficient of synchronous death
Average residual energy
Amount of data collected at the BS
Findings
Conclusion

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