Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-13651-1_20 | DCOSS |
Keywords | Field | DocType |
sensor access point,tasked mobile sensor,mobile sensor energy,mobile sensor,human-carried sensor,certain time window,opportunistic sensor network,uploading opportunity,sap tier,opportunistic rendezvous,node rendezvous,sensor network | Computer science,Scheduling (computing),Network packet,Upload,Computer network,Real-time computing,Rendezvous,Halo,Wireless sensor network | Conference |
Volume | ISSN | ISBN |
6131 | 0302-9743 | 3-642-13650-8 |
Citations | PageRank | References |
4 | 0.46 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Shane B. Eisenman | 1 | 1921 | 132.50 |
Hong Lu | 2 | 2730 | 150.65 |
Andrew T. Campbell | 3 | 8958 | 759.66 |