Abstract

We optimize the cluster structure to solve problems such as the uneven energy consumption of the radar sensor nodes and random cluster head selection in the traditional clustering routing algorithm. According to the defined cost function for clusters, we present the clustering algorithm which is based on radio-free space path loss. In addition, we propose the energy and distance pheromones based on the residual energy and aggregation of the radar sensor nodes. According to bionic heuristic algorithm, a new ant colony-based clustering algorithm for radar sensor networks is also proposed. Simulation results show that this algorithm can get a better balance of the energy consumption and then remarkably prolong the lifetime of the radar sensor network.

Highlights

  • Radar sensor networks (RSN) [1] are the networks of distributed radar sensors which collaboratively operate and are deployed ubiquitously on airborne, surface, and unmanned vehicles in a large geographical area

  • The ant colony algorithm is applied to RSN clustering routing

  • The energy and distance pheromones which are based on the residual energy and aggregation of radar sensor nodes are proposed

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Summary

Introduction

Radar sensor networks (RSN) [1] are the networks of distributed radar sensors which collaboratively operate and are deployed ubiquitously on airborne, surface, and unmanned vehicles in a large geographical area. Heinzelman proposes a “Low-Energy Adaptive Clustering Hierarchy” (LEACH) for WSN data gathering and communication [11] In this protocol, the base station is assumed to be far away from the area where sensors are deployed. To overcome the defect of LEACH and ACDCHA, in this paper, the cost function for clusters is proposed based on radio-free space path loss for radar sensor network. In the cluster head selection phase, the energy and distance pheromones based on the residual energy and aggregation of radar sensor nodes are proposed. Simulation results show that this algorithm can keep a better balance of the energy consumption and prolong the life cycle of the radar sensor network. The rest of this paper is organized as follows

The Basic Concept of BACCA
BACCA Algorithm
Algorithm Simulation and Analysis
Conclusion
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