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In this paper, we tackle the problem of stimulating smartphone users to join mobile crowdsourcing applications with smartphones. Different from existing work of mechanism design, we uniquely take into consideration the crucial dimension of location information when assigning sensing tasks to smartphones. However, the location awareness largely increases the theoretical and computational complexity...
In this paper, we study the message delivery capacity problem in delay-constrained mobile sensor networks. The message delivery capacity specifies the maximum percentage of sensing messages that can be successfully delivered to sink nodes within a given time constraint. This captures the overall system capacity in terms of successful sensing message delivery. By taking full advantage of sensor mobility...
Accurate spectrum sensing is one of the key technologies to enable dynamic spectrum access in cognitive radio networks. Recently cooperative spectrum sensing is proposed as an efficient way to achieve better sensing accuracy. It makes use of multiple nodes to sense a channel and then analyzes their results together to get more accurate results. Several works have been conducted to study this technology...
We present a novel spectrum access scheme for open spectrum networks. Different from existing works, this work considers the scenario that contending secondary users have heterogeneous channel availability. It is proved to be NP hard to find the optimal spectrum assignment in this scenario. To solve this problem, a novel approximation algorithm is proposed which is based on the maximum weighted matching...
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