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Designing of energy efficient stable clustering protocols based on BFOA for WSNs

  • Prateek GuptaEmail author
  • Ajay K. Sharma
Original Research

Abstract

Efficient clustering method can competently scale down the energy consumption of sensor nodes (SNs) in wireless sensor networks (WSNs). Selection of the best-suited SNs for the role of cluster heads (CHs) can lead to effective clustering process. In past few decades, a number of clustering protocols have been designed to handle these issues in distributed WSNs. However, most of these employed estimation/randomized algorithms for CH selection due to lack of globalized energy awareness problem in distributed WSNs. This paper resolves the problem by using proposed Modified Intelligent CH election based on Bacterial foraging optimization algorithm (M-ICHB), which searches actual higher residual energy SNs for CH selection in distributed WSNs. M-ICHB algorithm does not require any estimation/randomized algorithms during CH selection process, which resolves the issue of energy unawareness problem in the WSN. Moreover in general, most of the existing clustering algorithms have been designed either for homogeneous or heterogeneous WSNs. However in contrary, proposed M-ICHB algorithm is designed for both homogeneous as well as heterogeneous WSNs in this paper. Furthermore, in many critical applications i.e., military surveillance, traffic management, natural disaster forecasting and structural health monitoring; reliability of data from each SN is the most crucial aspect. In this prospect, elongated stability region (from the network initiation till first node dies) of the network is the prime necessity. For this, we have applied proposed M-ICHB algorithm on conventional stability based clustering protocols i.e., LEACH, SEP and DEEC and proposed M-ICHB based stable protocols viz MILEACH, MIrLEACH, MISEP and MIDEEC protocols. Simulation results confirm that proposed MILEACH, MIrLEACH, MISEP and MIDEEC protocols are capable in searching actual higher residual energy nodes for CH selection without using any estimation/randomized algorithm, while maintaining distributive nature of WSNs. Moreover, these offer better stability region, stable CH selection in each round and higher number of packets reception at base station (BS) in comparison to LEACH, SEP and DEEC protocols. Further, MILEACH and MIrLEACH improve the stability region by 53 and 58% and number of packets received at BS by 91 and 97% respectively in comparison to LEACH. Furthermore, MISEP and MIDEEC improve 52 and 21% in stability region and 82 and 188% in number of packets received at BS in comparison to SEP and DEEC protocols.

Keywords

Wireless sensor networks Clustering Network lifetime Stability region ICHB algorithm Bacterial foraging optimization algorithm 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringDr B R Ambedkar National Institute of TechnologyJalandharIndia
  2. 2.Department of Computer Science and EngineeringNational Institute of TechnologyDelhiIndia

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