Learning in the recurrent random neural network
Neural Computation
Design and performance of cognitive packet networks
Performance Evaluation
Altruistic cooperation for energy-efficient multi-channel MAC protocols
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Survey of Energy Efficient Strategies in Wireless Ad Hoc and Sensor Networks
ICN '08 Proceedings of the Seventh International Conference on Networking
Energy efficient OLSR performance evaluation under energy aware metrics
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Cooperative game theoretic routing algorithm based on Shapley-value approach
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
Voice communication over mobile ad hoc networks: evaluation of a QoS extension of OLSR using OPNET
AINTEC '09 Asian Internet Engineering Conference
On cooperation in energy efficient wireless networks: the role of altruistic nodes
IEEE Transactions on Wireless Communications - Part 2
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
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To make an ad hoc network work properly, wireless nodes are usually requested to cooperate in routing operations. However, there is currently a lack of behavior-tracking mechanisms, so certain nodes can freely play a selfish role at the detriment of altruistic ones. In this paper we try to answer the question in the title, by showing how cooperation can definitely help reduce the overall energy consumed in an ad hoc network. By exploiting a behavior-tracking algorithm mutuated from game theory, we allow traffic to be forwarded only towards cooperative nodes. We hence prove that we can reduce power wastage at the same time maximizing the delivery rate. With the mentioned approach, selfish nodes are isolated from the network unless they decide to start cooperating. Our experimental tests aim at verifying the quick reaction time in response to variable nodes' behaviors as well as presenting a comparative analysis of the actual energy spent to successfully send traffic towards destinations.