Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Message Ferrying: Proactive Routing in Highly-Partitioned Wireless Ad Hoc Networks
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
Proceedings of the 3rd international symposium on Information processing in sensor networks
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
FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System
RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
Brimon: a sensor network system for railway bridge monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
Achieving long-term surveillance in VigilNet
ACM Transactions on Sensor Networks (TOSN)
Multi-path Planning for Mobile Element to Prolong the Lifetime of Wireless Sensor Networks
RTCSA '09 Proceedings of the 2009 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
On the deployment of wireless data back-haul networks
IEEE Transactions on Wireless Communications
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
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Wireless sensor networks (WSNs) have been widely deployed and it is crucial to properly control the energy consumption of the sensor nodes to achieve the maximum WSNs' operation time (i.e., lifetime) as they are normally battery powered. In this paper, for sensor nodes that are utilized to monitor oil pipelines, we study the linear sensor placement problem with the goal of maximizing their lifetime. For a simple equal-distance placement scheme, we first illustrate that the result based on the widely used ideal power model can be misleading (i.e., adding more sensor nodes can improve WSN's lifetime) when compared to that of a realistic power model derived from Tmote Sky sensors. Then, we study equal-power placement schemes and formulate the problem as a MILP (mixed integer linear programming) problem. In addition, two efficient placement heuristics are proposed. The evaluation results show that, even with the Tmote power model, the equal-power placement schemes can improve the WSN's lifetime by up to 29% with properly selected number of sensor nodes, the distance between them and the corresponding transmission power levels. Moreover, one heuristic scheme actually obtains almost the same results as that of MILP, which is optimal. The real deployment in one oil field is also discussed.