Time-energy Performance Comparisons of Some Routing Schemes on Sensor Networks with Different Topologies

2014 ◽  
Vol 2 ◽  
pp. 235-235
Author(s):  
Fan Yan ◽  
Guanrong Chen ◽  
Alan K. H. Yeung
Keyword(s):  
Sensor Networks ◽  
Energy Performance ◽  
Routing Schemes ◽  
Performance Comparisons

scholarly journals Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

2021 ◽  
Author(s):  
Khanh-Van Nguyen ◽  
Chi-Hieu Nguyen ◽  
Phi Le Nguyen ◽  
Tien Van Do ◽  
Imrich Chlamtac
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Routing Schemes ◽  
Routing Scheme ◽  
Effective Manner

AbstractA quest for geographic routing schemes of wireless sensor networks when sensor nodes are deployed in areas with obstacles has resulted in numerous ingenious proposals and techniques. However, there is a lack of solutions for complicated cases wherein the source or the sink nodes are located close to a specific hole, especially in cavern-like regions of large complex-shaped holes. In this paper, we propose a geographic routing scheme to deal with the existence of complicated-shape holes in an effective manner. Our proposed routing scheme achieves routes around holes with the (1+$$\epsilon$$ ϵ )-stretch. Experimental results show that our routing scheme yields the highest load balancing and the most extended network lifetime compared to other well-known routing algorithms as well.

Routing Schemes in Wireless Multimedia Sensor Networks

2019 ◽  
pp. 79-103
Author(s):  
Ankur Dumka ◽  
Sandip K. Chaurasiya ◽  
Arindam Biswas ◽  
Hardwari Lal Mandoria
Keyword(s):  
Sensor Networks ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Routing Schemes

Routing Schemes in Wireless Sensor Networks

2019 ◽  
pp. 59-77
Author(s):  
Ankur Dumka ◽  
Sandip K. Chaurasiya ◽  
Arindam Biswas ◽  
Hardwari Lal Mandoria
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Routing Schemes

Energy-efficient routing sensing technology of wireless sensor networks based on Internet of Things

2021 ◽  
Vol 27 (3) ◽  
pp. 225-235
Author(s):  
Xiaotao Ju
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Cluster Head ◽  
Energy Performance ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Duty Ratio ◽  
Support Vector ◽  
Energy Efficient Routing

This research was conducted to enhance the energy performance of wireless sensor networks (WSN) and improve the performance of end-to-end delay and packet receiving rate of network operation. In this study, the low-energy data collection routing algorithm and adaptive environment sensing method in WSN were mainly examined. The node centrality, energy surplus, and node temperature were calculated for cluster head selection to reduce the energy consumption of nodes and improve the reliability of network data. The research results have shown that the parameter setting guided by the theoretical analysis makes each node selfishly achieve the maximum expected benefit while the whole network runs reliably, and the energy consumption is reduced by the selfishness of the node. As a result, the proposed algorithm can effectively reduce the network energy consumption and increase the network life cycle of wireless sensor networks. It can be seen that the machine learning methods such as support vector machine are used to model and analyze the state of the sensing node, and to obtain more accurate wireless channel availability judgment based on the historical state data, thereby adaptively adjusting the working duty ratio and reducing the invalidity data sent.

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