An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
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
Trading Latency for Energy in Wireless Ad Hoc Networks Using Message Ferrying
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
A study on object tracking quality under probabilistic coverage in sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Data storage placement in sensor networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Exploiting mobility for energy efficient data collection in wireless sensor networks
Mobile Networks and Applications
Trade-offs between mobility and density for coverage in wireless sensor networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Review: Coverage and connectivity issues in wireless sensor networks: A survey
Pervasive and Mobile Computing
Multiple controlled mobile elements (data mules) for data collection in sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
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Depending on the density of a wireless sensor network, it is likely that the field is not completely covered and the network is not fully connected. Assuming that the sensor nodes are randomly deployed in the field, we observe that clumps of sensors could be formulated and cooperation among the sensor nodes can be carried out. With cooperation, the area covered by the sensor nodes increases and the data collected by each sensor could be shared within one clump. Moreover, mobile nodes Mules could be employed in the field to further improve the coverage and connectivity. In this paper, we characterise the expected proportion of covered region, the time needed to obtain full connectivity, and the number of nodes connected by the Mules at certain time threshold. Our analysis and simulation results show that significant improvement of coverage and connectivity can be achieved from cooperation and mobility.