Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Using mobile relays to prolong the lifetime of wireless sensor networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Proceedings of the 3rd international conference on Embedded networked sensor systems
SenCar: An Energy-Efficient Data Gathering Mechanism for Large-Scale Multihop Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Rendezvous Planning in Mobility-Assisted Wireless Sensor Networks
RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
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Mobile elements, which can traverse the deployment area and convey the observed data from static sensor nodes to a base station, has been introduced for energy efficient data collection in wireless sensor networks (WSNs). However, most existing solutions only calculate a single path for the mobile element, which may lead to quick energy depletion for sensor nodes that are far away from the path. In this paper, for real-time data collection in a WSN with one mobile element, we study the adaptive path scheduling problem for prolonging the lifetime of the WSN. Here, multiple paths are planned and the mobile element follows the paths in turn to balance the energy consumption on individual sensor nodes, thus to extend the WSN's lifetime. We first illustrate the problem with one motivational example. Then, for cases where the movement of the mobile element is restricted (e.g., straight lines), we propose and analyze the optimal solutions. For the general cases, we discuss the issues involved and speculate our future research directions.