Sending messages to mobile users in disconnected ad-hoc wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
GPS-free Positioning in Mobile Ad Hoc Networks
Cluster Computing
A delay-tolerant network architecture for challenged internets
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
A message ferrying approach for data delivery in sparse mobile ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
A new networking model for biological applications of ad hoc sensor networks
IEEE/ACM Transactions on Networking (TON)
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance
IEEE Transactions on Mobile Computing
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Energy and Latency Performance
IEEE Transactions on Mobile Computing
MACRO+: a network coding driven integrated MAC/routing protocol for multihop wireless networks
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Energy-efficient management of wireless sensor networks
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
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In a delay-tolerant sensor network where the sink is mobile, a node can conveniently hold an information packet until the sink comes closer. This allows to both decrease the number of wireless hops required to deliver the information to the sink and reduce energy consumption. Thus, mobility of nodes can be exploited to increase energy efficiency in sensor networks. However, a major drawback of the above policy is that it causes delay which may be not acceptable for the application. In this paper a trade-off between energy efficiency and delay is investigated. More specifically, an analytical framework which allows to evaluate the expected delivery cost with respect to the maximum delay acceptable for the application is derived and assessed by comparison with simulation results. Numerical results show that the analytical framework is very accurate and, as expected, accuracy increases as the density of nodes in the network increases.