EAPESS: An Adaptive Transmission Scheme in Wireless Sensor Networks

TL;DR

This paper proposes an adaptive transmission scheme for wireless sensor networks that optimizes energy consumption by selecting encoders and transmit power based on critical distance and coding gains, leading to significant energy savings.

Contribution

It introduces a novel adaptive encoder and power selection scheme based on critical distance and coding gains for energy efficiency in WSNs.

Findings

Significant energy savings demonstrated through simulations.

Adaptive scheme outperforms non-adaptive methods.

Effective encoder and power selection based on critical distance.

Abstract

Reduced energy consumption in sensor nodes is one of the major challenges in Wireless Sensor Networks (WSNs) deployment. In this regard, Error Control Coding (ECC) is one of techniques used for energy optimization in WSNs. Similarly, critical distance is another term being used for energy efficiency, when used with ECC provides better results of energy saving. In this paper three different critical distance values are used against different coding gains for sake of energy saving. If distance lies below critical distance values then particular encoders are selected with respect to their particular coding gains. Coding gains are used for critical distances estimation of all encoders. This adaptive encoder and transmit power selection scheme with respect to their coding gain results in a significant energy saving in WSNs environment. Simulations provide better results of energy saving achieved by using this adaptive scheme.