Abstract
Abstract Optimization of sensor network architecture in order to improve the overall system performance at the end processing station is an important challenge. A lot of architectures have been designed to optimize the bit error rate. Conventionally, this optimization is done by inserting relays between sensors and destination. These relays insert redundant information by mixing the incoming streams from sensor nodes, hence creating parity check information which is very useful to help decode the transmit information from sensors. The goal is to combine network and channel coding to match network on graph to code on graph, and this is called adaptive network coded cooperation (ANCC). Compared to the previous works in the field, we propose a new transmit protocol based on the use of beamforming technique which is very efficient in terms of throughput and is fully compatible with the physical network coding (PNC) principles. Furthermore, we propose a distributed coding scheme where the relay, the destination, and the sensors are all equipped with repeat accumulate (RA) channel code structures. The relay has a special RA structure to suit the need of the PNC multiple access channel.
Highlights
Different protocols and architectures have been designed to improve the performance of sensor networks
Among the different network coding techniques for wireless sensor networks, one promising approach is the use of joint network-channel coding (JNCC)
Since our proposed scheme is fully compatible with the physical network coding (PNC) principles, we propose a distributed coding scheme where channel coding is applied at the destination and at the sensors level and network coding is applied at the relay to encode the incoming mixed streams from the destination and the sensors
Summary
Different protocols and architectures have been designed to improve the performance of sensor networks. In this paper, supposing that the relay and the destination are equipped with K antennas, we propose a new transmission protocol which enables 2.K uplink and downlink transmissions to be accomplished within (K + 2) time slots This outstanding performance is obtained because we found a way to handle the co-channel interference at the relay place. The relay uses a precoding vector F of size Q × Q and the destination source weights the received signal with a vector G of size Q × N This means that the K data information are transmitted by selecting K antennas among a set of Q antennas. By decoding the estimate of Xs,j ⊕ XD,j i.e.: PXs;j⊕XD;j with a soft input decoder, the relay can obtain: mi ⊕ si
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