Abstract

Many protocols such as clustering are proposed to minimize and balance energy consumption of the network because WSN (wireless sensor network) is energy-limited. In clustering protocols, CHs (cluster head) consume much more energy than its CMs (cluster member) which leads to the faster death of CHs. Many traditional protocols are designed to solve the problem, but they have some drawbacks respectively. In this paper, EHCT (enhancement of hierarchy cluster-tree routing for WSN) is proposed to further balance the energy consumption. The simulation results show that the performance of EHCT has an improvement of 41% over LEACH and 14% over UDACH in the area of 500m*500m, 28% over LEACH and 18% over UDACH in the area of 1000m*1000m.

Highlights

  • Wireless network modelThe sensor nodes are randomly distributed in a square area and monitor the environment unceasingly

  • In this paper, EHCT is designed to further balance energy consumption and prolong lifetime of the network

  • To evaluate the performance of EHCT and compare it with LEACH and UDACH, the protocols are simulated in two environments 500m*500m and 1000m*1000m, the simulation tool is OMNET

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Summary

Wireless network model

The sensor nodes are randomly distributed in a square area and monitor the environment unceasingly. The BS is stationary and located far away from the monitored area. Each link is symmetric and the approximate distance of two nodes can be evaluated according to the received signal intensity. One is free space model, the other is multi-path fading model. The distance between transmitter and receiver determines which model is used. D is transmitting distance of L-bit packet, multi-path fading model is selected when d is greater than d0, and the energy spent for the radio is ETX (l, d ) = l * Eelec + l * ε amp d 4. Free space model is selected when d is less than d0, and the energy consumption is ETX (l, d ) = l * Eelec + l *ε fsd 2. Ef in equation (4) is the energy consumed by the node to fuse one bit

EHCT design
Cluster Formation
Cluster-tree Construction
Data transmission
Evaluated performances
Findings
Conclusion
Full Text
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