Abstract
In recent years, directional antennas or phased array antennas are being widely used in communication systems due to the higher antenna gains. However, without external time synchronization and angle synchronization, the unsynchronized node usually takes a long time to synchronize with the existing nodes due to the narrow beams. Although the multibeam transmission or the digital phased array antenna can reduce this problem, it is clear that the cost of the digital phased array antenna is currently too high. Without external time synchronization and angle synchronization, a cooperative antenna selection method based on directional antennas is proposed in this paper. Our method only uses the narrow beams to transmit and to receive and reduces the time for self‐synchronization. In this paper, we give the expression of the expected average time for the self‐synchronization of multiple nodes, transform the problem into the problem of finding the minimum value of the infinite norm of the sequence, and then propose a cooperative antenna selection method which calculates the optimal transmission probability distribution of the node in different directions through parameter sharing and relative geometric position relationship between nodes. Finally, we verify the proposed method through simulation, and the number of beams is set between 6 and 10. In a typical scenario of five nodes, our method reduces the maximum average self‐synchronization time by 50% averagely, compared with the traditional method which sends the different antenna beams at equal probability.
Highlights
With the rapid growth of users’ demand for big data services [1], the network throughput required is getting higher and higher
Based on the parameter sharing and the relative position relationship within the synchronized nodes, a cooperative antenna selection method for directional antenna ad hoc networks based on ALOHA is designed to calculate the transmission probability of nodes in different directions to minimize the maximum average time for the self-synchronization
After adopting the method proposed in this paper, the maximum waiting delay is 197 time slots; the maximum average time for the new nodes to be synchronized is reduced by 60%
Summary
With the rapid growth of users’ demand for big data services [1], the network throughput required is getting higher and higher. The paper [4] shows that the Wireless Communications and Mobile Computing asynchronous neighbor discovery time is about twice the synchronous neighbor discovery time, so how to minimize the maximum average self-synchronization time is the key point to reduce the time for new nodes of joining in the directional ad hoc network and network establishment time. We design a cooperative antenna selection method for directional antenna ad hoc networks based on ALOHA, which minimizes the maximum average time for selfsynchronization. Based on the parameter sharing and the relative position relationship within the synchronized nodes, a cooperative antenna selection method for directional antenna ad hoc networks based on ALOHA is designed to calculate the transmission probability of nodes in different directions to minimize the maximum average time for the self-synchronization.
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