WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
Capacity bounds for ad hoc and hybrid wireless networks
ACM SIGCOMM Computer Communication Review
Accessing Ubiquitous Services Using Smart Phones
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Cell Breathing in Wireless LANs: Algorithms and Evaluation
IEEE Transactions on Mobile Computing
Operating System Concepts
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
The diameter of opportunistic mobile networks
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Opportunistic use of client repeaters to improve performance of WLANs
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Combining web, mobile phones and public displays in large-scale: manhattan story mashup
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
CenceMe: injecting sensing presence into social networking applications
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Radio characterization of 802.15.4 and its impact on the design of mobile sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Parasitic mobility for pervasive sensor networks
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
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One vision of an opportunistic sensor network (OSN) uses sensor access points (SAPs) to assign mobile sensors with sensing tasks submitted by applications that could be running anywhere. Tasked mobile sensors might upload sensed data back to these applications via subsequent encounters with this SAP tier. In a people-centric OSN, node mobility is uncontrolled and the architecture relies on opportunistic rendezvous between human-carried sensors and SAPs to provide tasking/uploading opportunities. However, in many reasonable scenarios application queries have a degree of time sensitivity such that the sensing target must be sampled and/or the resulting sensed data must be uploaded within a certain time window to be of greatest value. Halo efficiently, in terms of packet overhead and mobile sensor energy, provides improved delay performance in OSNs by: (i) managing tasking/uploading opportunity, and (ii) using mobility-informed scheduling at the SAP.