An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints

Abstract

We consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots. The modulation level and the number of allocated time slots for every sensor are constrained to attain their applications bit rates in a global energy-efficient manner. The signal-to-noise ratio gap approximation is used in our exposition in order to jointly handle required bit rates, transmission energies, and symbol error rates.

Adaptive subcarrier modulation for indoor public safety body-to-body networks

“…Through the years, more complex adaptive modulation schemes were proposed, focussing on trade-off between performance and throughput [7], maximizing spectral efficiency [8] or minimizing transmission energy [9]. However, only [10] proposes an adaptive scheme for the WBAN physical layer, concentrating on off-body communication.…”

Performance Trade Off with Modulation in 802.15.4 WPAN for Wireless Sensor Networks

“…15.4 has been reported by the various researchers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Some have investigated various performance issues like: Delay; Throughput evaluation of GTS mechanism [1].…”

Modulation-aware energy balancing in hierarchical wireless sensor networks

“…Much research has focused on energy-aware design in different layers of the network in order to extend the network lifetime [1][2][3][4][5][6][7][8]. Various WSN architectures have been proposed for different applications.…”

“…Modulation scaling and adaptive modulation techniques are introduced in [6][7][8] where the modulation level is adjusted to reduce the energy per bit. In [6], the concept of modulation scaling is proposed where at lower data traffic, target bit error rate is increased to reduce the required energy per bit.…”

“…In [7] the impact of using modulation scaling on packet delivery latency and packet loss is considered. In [8], adaptive modulation is used in a centralized cross-layer approach in order to minimize the total transmission energy consumption of the network by taking into account that every sensor may require a different bit rate according to its application. In these techniques, one common modulation scheme is considered across the network and the level is adjusted to achieve lower required energy per bit.…”