Multi-Hop Data Communication Algorithm for Clustered Wireless Sensor Networks

Dilip Kumar and R. B. Patel

International Journal of Distributed Sensor Networks, 2011, vol. 7, issue 1, 984795

Abstract: Recently, continued advances in wireless communication technologies have enabled the deployment of large-scale wireless sensor networks (WSNs). A key concern in the design and development of such WSNs is energy consumption. The hierarchical clustering algorithm is a kind of a technique which is used to reduce energy consumption. It can also increase the scalability, stability, and network lifetime. In some clustering schemes, the communication between a sensor node and its designated cluster head (CH) is assumed to be single-hop. However, multihop communication is often required when the communication range of the sensor nodes is limited or the number of sensor nodes is very large in a network. In this paper, we propose a distributed, randomized, multi-hop clustering algorithm to organize the sensor nodes in a WSN into clusters. The data collected by each sensor node communicate with their respective CHs by using multi-hop communication. The selected CHs collect data from member nodes in their respective clusters, aggregate the data, and send it to a base using multi-hop communication. Simulation results show that proposed algorithm efficiently mitigates the hot spot problem in heterogeneous WSN and achieves much improvement in network lifetime and load balance compared to the existing algorithms.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1155/2011/984795 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:7:y:2011:i:1:p:984795

DOI: 10.1155/2011/984795

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().