Network coding and evolutionary theory for performance enhancement in wireless cooperative clusters

Abstract

SUMMARYCooperation over short-range wireless links among user devices, which download remote contents through cellular links, is a paradigm quickly gaining ground, given that it can answer several technological and design issues that next-generation wireless applications will raise. Among others, energy consumption, data rate and data transfer time are parameters that will likely benefit from this novel communication concept. This paper presents a WLAN-based cooperative scenario, conceived to support file-sharing services, in which a sub-set of cluster nodes access, through their cellular radio interface, portions of a file to be successively exchanged among all cluster members over wireless local area network (WLAN) links. Besides showing the beneficial effects of cooperation, this paper also focuses on the performance enhancement that can be achieved when using the network coding paradigm, whose deployment revealed to be very effective in the depicted scenario. The selection of the nodes acting as sources for file injection into the cluster is a critical aspect for the effectiveness of the whole system. Therefore, the potentialities offered by the evolutionary theory applied to the specific problem are investigated and an ad hoc conceived Genetic Algorithm (GA) designed. Either the service time (the time needed for all nodes to receive the complete file) or the energy consumption for the nodes is used as objective function, showing in both cases the fast convergence for the algorithm that makes it preferable to either exhaustive searches or random choices.

A utility minimization approach for energy‐aware cooperative content distribution with fairness constraints

“…Network coding has in fact been investigated in the framework of M2M collaboration in [41] where an SR collaboration method based on genetic algorithms is proposed. This can correspond in practice to a user leaving a certain area or to the battery of a certain mobile device getting depleted.…”

Group Interactions in Wireless Cooperative Networks

“…This can be done with an extensive search algorithm, which is a computationally demanding solution but offers the best choice to compare the performance. It is in fact out of the scope of this paper to investigate on the source election problem and the related computational issues, as we already studied in [6] and [10]. …”

“…[6]); therefore, in this paper, all nodes implement the Random Linear Network Coding [7] for inter-device data exchange on WLAN links. In previous literature two assumptions usually hold: a) all involved nodes are interested in the same data content, b) all nodes are fully-connected in a given network area.…”

Energy efficiency based on joint mobile node grouping and data packet fragmentation in short‐range communication system

“…This tells us that when the received SNR is sufficiently high, the error probability of data transmission is very small and the reliability of communication is high. 10 15 The curves of Figure 8 show that channel conditions and modulation schemes have certain influences on the average PER. We can infer that the average EE for different modulations in different channels is also different.…”