TY - GEN
T1 - Auction schemes for energy and signal cooperation in two-hop networks
AU - Varan, Burak
AU - Yener, Aylin
N1 - Funding Information:
This work was supported in part by the National Science Foundation Grants CNS 09-64364 and CCF 14-22347
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - In this paper, we study a cooperative two-hop network with multiple sources and multiple relays where the energy required for the relays is transferred by the sources. In return, the relays transmit the sources' data, along with their own data, to the destination. We consider the setup where each node's objective is to maximize the amount of its own data delivered to the destination. We take a game theoretic approach and first model the selfish cooperation scenario with one source and one relay as a Stackelberg game where (i) the relay or (ii) the source is the leader. We demonstrate how the leader of the game takes advantage of its ability to compute the follower's optimal strategy to influence the follower and improve its own utility. In both cases, we also consider the case with multiple followers. We employ Vickrey auctions to model the inter-follower competition. We identify the winner of the auction in both cases and observe that the followers must compromise their individual utilities to win the auction. Consequently, the leader's utility turns out to be nondecreasing in the number of competing followers.
AB - In this paper, we study a cooperative two-hop network with multiple sources and multiple relays where the energy required for the relays is transferred by the sources. In return, the relays transmit the sources' data, along with their own data, to the destination. We consider the setup where each node's objective is to maximize the amount of its own data delivered to the destination. We take a game theoretic approach and first model the selfish cooperation scenario with one source and one relay as a Stackelberg game where (i) the relay or (ii) the source is the leader. We demonstrate how the leader of the game takes advantage of its ability to compute the follower's optimal strategy to influence the follower and improve its own utility. In both cases, we also consider the case with multiple followers. We employ Vickrey auctions to model the inter-follower competition. We identify the winner of the auction in both cases and observe that the followers must compromise their individual utilities to win the auction. Consequently, the leader's utility turns out to be nondecreasing in the number of competing followers.
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U2 - 10.1109/GLOCOM.2014.7417623
DO - 10.1109/GLOCOM.2014.7417623
M3 - Conference contribution
AN - SCOPUS:84964901553
T3 - 2015 IEEE Global Communications Conference, GLOBECOM 2015
BT - 2015 IEEE Global Communications Conference, GLOBECOM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Global Communications Conference, GLOBECOM 2015
Y2 - 6 December 2015 through 10 December 2015
ER -