PROSAN: probabilistic opportunistic routing in SANETs

  • Authors:
  • Hoang Anh Nguyen;Silvia Giordano

  • Affiliations:
  • University of Applied Sciences (SUPSI), 6928 Manno, Switzerland;University of Applied Sciences, 6928 Manno, Switzerland

  • Venue:
  • Proceedings of the First ACM workshop on Sensor and actor networks
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

SANET react to a sensed event by means of actuators. The sensor nodes thus need to communicate with actuators, and this can involve several hops if the network is large. To reduce unbalanced traffic distribution and costs, sensor networks can be modeled as intermittently connected mobile networks where special nodes are used for forwarding. However, this routing approach could be not appropriate for SANET as can introduce delays. We propose, to overcome this problem, PROSAN algorithm that exploit context based opportunistic routing for mobile SANET, by adapting the Propicman algorithm to this more constrained scenario. This has several advantages: i) based on context information, PROSAN allows the sender to select the next hop such that the message has the highest probability to reach the destination; ii) due to sensor nodes mobility, there is no need for special mobile nodes and the mobility of all nodes contributes to meet the time constraints; iii) due to neighbor(s) selection, the energy and memory consumption are reduced. We also combine it with mobility-assisted forwarding into a hybrid scheme, for better reliability. The initial simulation results show that the use of probabilistic opportunistic routing can be very beneficial and opens to a new interesting direction within SANET.