Clustering Based Two Dimensional Motion of Sink Node in Wireless Sensor Networks
Autor: | Bidyut K. Bhattacharyya, Mrinal Kanti Deb Barma, Arindam Debnath, Habila Basumatary |
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Rok vydání: | 2021 |
Předmět: |
Routing protocol
business.industry Computer science Node (networking) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications 02 engineering and technology Computer Science Applications Energy conservation Sensor node 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Sink (computing) business Cluster analysis Wireless sensor network Computer network |
Zdroj: | Wireless Personal Communications. 118:161-183 |
ISSN: | 1572-834X 0929-6212 |
DOI: | 10.1007/s11277-020-08007-5 |
Popis: | The wireless sensor network (WSN) is always known for its limited-energy issues and finding a good solution for energy minimization in WSNs is still a concern for researchers. Implementing mobility to the sink node is used widely for energy conservation or minimization in WSNs which reduces the distance between sink and communicating nodes. In this paper, with the intention to conserve energy from the sensor nodes, we designed a clustering based routing protocol implementing a mobile sink called ‘two dimensional motion of sink node (TDMS)’. In TDMS, each normal sensor node collects data and send it to their respective leader node called cluster head (CH). The sink moves in the two dimensional direction to collect final data from all CH nodes, particularly it moves in the direction to that CH which has the minimum remaining energy. The proposed protocol is validated through rigorous simulation using MATLAB and comparisons have been made with WSN’s existing static sink and mobile sink routing protocols over two different geographical square dimensions of the network. Here, we found that TDMS model gives the optimal result on energy dissipation per round and increased network lifetime. |
Databáze: | OpenAIRE |
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