MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks

By Jun Luo, Jacques Panchard, Michal Piórkowski, Matthias Grossglauser, Jean-Pierre Hubaux. International Conference on Distributed Computing in Sensor Systems, 2006

335 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/062c2c9f6f9a8b21a5135285a77621f868b65318

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Mario Di Francesco
2. Giuseppe Pio Anastasi
3. Sajal K. Das
4. Kwan-Wu Chin
5. Hongke Zhang
6. Shuai Gao
7. Eleonora Borgia

In Electrical and Electronic Engineering

1. Mario Di Francesco
2. Giuseppe Pio Anastasi
3. Sajal K. Das
4. Kwan-Wu Chin
5. Eleonora Borgia

Citations in the corpus

• Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, background): “…et al. 2003] MS Multiple Dense Random Energy DEED [Kim et al. 2005] MS Multiple Dense Random Latency TTDD [Luo et al. 2005a] MS Multiple Dense Random Energy MobiRoute [Luo et al. 2006] MS Single Dense Fixed Reliability Somasundara et al. [2006] MS Single Sparse Fixed Reliability power-hungry.”
• Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks (2011, background): “Existing work has shown that sink mobility can improve the performance of WSNs [1], [2], [3], [4], [5], [6], [7], [8], [9].”
• An Energy-Efficient Mobile-Sink Path Selection Strategy for Wireless Sensor Networks (2014, background): “In general, limitations such as the maximum number of feasible sites [28], maximum distance between feasible sites, and minimum sojourn time [24] govern the movement of a mobile sink.”