Collaboration Architecture to Reduce Download Time and Energy

Abstract

Mobile collaborative community (MCC) is an emerging technology that sanctions multiple mobile nodes (MNs) to perform a resource intensive task, such as sizably voluminous content download, in a cooperative manner. In this paper, we introduce a proxy-predicated collaboration system for the MCC where a content proxy (CProxy) determines the amount of chunks and the sharing order scheduled to each MN, and the received chunks are shared among MNs via Wi-Fi Direct. We formulate a multi-objective optimization quandary to minimize both the collaborative content download time and the energy consumption in an MCC, and propose a heuristic algorithm for solving the optimization quandary. Extensive simulations are carried out to evaluate the effects of the number of MNs, the wireless bandwidth, the content size, and dynamic channel conditions on the content download time and the energy consumption. Our results demonstrate that the proposed algorithm can achieve near-optimal performance and significantly reduce the content download time and has energy consumption commensurable to that of other algorithms.