Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
Optimal Base-Station Locations in Two-Tiered Wireless Sensor Networks
IEEE Transactions on Mobile Computing
An Energy-Efficient and Low-Latency Routing Protocol for Wireless Sensor Networks
ICW '05 Proceedings of the 2005 Systems Communications
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
A General Purpose Framework for Wireless Sensor Network Applications
COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 02
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This paper investigates the sink positioning problem in Wireless Sensor Networks(WSNs) with the consideration of the energy-latency trade-offs. Energy-efficiency and low-latency are two major objectives in most researches on WSNs. Positioning the sink properly and exploiting its mobility can improve the two performances. A novel linear programming model is proposed to solve the sink positioning problem. Its objective function represents the overall performance of the network lifespan and the average packet latency. We can get not only the position pattern of the sink but also the sojourn time ratio for each possible position according to the optimization results. Simulations are accomplished on NS-2. The results show that compared with a static sink approach or a positioning approach which only concerns the energy-efficiency, our approach can greatly shorten the average packet latency and prolong the network lifespan, especially when the sensor nodes are distributed asymmetrically or the traffic load is unbalanced.