Energy-Efficient Multihop Cooperative MISO Transmission with Optimal Hop Distance in Wireless Ad Hoc Networks

Abstract

Abstract-In this paper, we investigate the hop distance optimization problem in ad hoc networks where cooperative multiinput-single-output (MISO) is adopted to improve the energy efficiency of the network. We first establish the energy model of multihop cooperative MISO transmission. Based on the model, the energy consumption per bit of the network with high node density is minimized numerically by finding an optimal hop distance, and, to get the global minimum energy consumption, both hop distance and the number of cooperating nodes around each relay node for multihop transmission are jointly optimized. We also compare the performance between multihop cooperative MISO transmission and single-input-single-output (SISO) transmission, under the same network condition (high node density). We show that cooperative MISO transmission could be energyinefficient compared with SISO transmission when the path-loss exponent becomes high. We then extend our investigation to the networks with varied node densities and show the effectiveness of the joint optimization method in this scenario using simulation results. It is shown that the optimal results depend on network conditions such as node density and path-loss exponent, and the simulation results are closely matched to those obtained using the numerical models for high node density cases.Index Terms-Cooperative MISO, energy efficiency, hop distance, wireless ad hoc networks.

Energy Efficient Wireless Sensor Networks using Co-operative MIMO: A Technical Review

“…Recently CMIMO technique and its variations like CMISO, are adopted by ad-hoc networks in wireless sensor network for the improvement in energy efficiency over SISO systems by exploiting the spatial diversity enhanced from cooperative communication [14]- [15]. These ad-hoc networks are also of great use in requirements of major applications.…”

A Review on Minimization of BER and Power of Ad hoc Network

“…However, this might cause problems in a realistic communication scenario with INI. BER and power is minimized using Genetic Algorithm (GA) [43] from M-PSK and QAM technique for WLAN. The minimum achieved from GA at 15 dB of SNR and 8-QAM minimum BER 10 -7 achieved from GA at 19 dB of SNR.…”

“…The minimum achieved from GA at 15 dB of SNR and 8-QAM minimum BER 10 -7 achieved from GA at 19 dB of SNR. So 8-PSK is better than 8-QAM which optimizes more power BER for the cross and physical layer design [43]. Protocol on transmission power control and error correction coding to achieve high energy efficiency discussed in [44].…”

Sub-optimal Power Allocation with Best Relay Algorithm in Multiple Antenna MIMO Relays Networks

“…However, like many wireless networks, energy consumption is a major issue in cooperative communications and is a hot topic in recent works. For example, hop distance in combination with the number of nodes was optimized in MIMO and multiple-input single-output (MISO) relay systems to improve their energy consumption [6].…”

“…In [8] the author study the structural properties of the optimal power allocation in MIMO-CN with per-node power constraints as it been applied at the source, however schemes require large feedback and knowledge, while [9][10] joint source power allocation and relay beamforming in multi-user multi-relay networks that use single-carrier frequency division multiple access (SC-FDMA) however this approach requires additional data traffic, therefore motivated by [6][7][8][9][10] we propose an amplify-andforward (AF) relay scheme of transmission, where two single antenna nodes communicate via MIMO relay(s) access points occupied with Q antennas. To obtain maximal achievable received SNR, we assume that the relays is able to perform the rule of maximal ratio combining (MRC) [11] on the received signal as well as the rule of maximal ratio transmitting (MRT) [11] on the forwarded signal.…”