Volume 11 - Issue 2
On the Optimality of Route Selection in Grid Wireless Sensor Networks: Theory and Applications
- Yaser Khamayseh
Jordan university of Science and Technology, 22110 Irbid, Jordan
yaser@just.edu.jo
- Wail Mardini
Jordan university of Science and Technology, 22110 Irbid, Jordan
wmardini@just.edu.jo
- Monther Aldwairi
Jordan university of Science and Technology, 22110 Irbid, Jordan, College of Technological Innovation, Zayed University, Abu Dhabi, UAE
monther.aldwairi@zu.ac.ae
- Hussein Mouftah
School of Electrical Engineering and Computer Science, University of Ottawa Ottawa, Ontario, Canada
mouftah@uottawa.ca
Keywords: Optimal Route, Power Consumption, Wireless Sensor Networks, Relay Nodes, Routing, Grid Topology
Abstract
Wireless Sensor Networks (WSNs) provides the necessary infrastructure for the successful realization
of emerging technological advancements such as smart places. Information, in WSN, is collected
from the target locations using sensors, sensors can act as relay nodes for the successful delivery of
the collected data to the base station. Energy is scarce in sensors, and usually, it cannot be renewed.
To prolong the network overall lifetime, it is essential to prolong each sensors’ lifetime. Therefore,
nodes placements and route selection are vital elements for WSNs, as it can significantly affect both
the network performance and lifetime. Nodes in WSNs can be deployed in several ways: randomly
or in an fixed manner. In this paper, we are concerned about the fixed deployment of sensors in a grid
topology. In such topology, many possible routes exist between a source and a destination nodes. To
reduce power consumption, it is important to find the optimal route. This paper sheds the light on
the optimality of the route selection in 2x2 grid topology and presents some findings regarding this
issue. The obtained optimal routes consider the power consumption factor. Some theoretical bounds
were derived on the optimal number of relay nodes in a 2x2 grid. Finally, a preliminary heuristic
approach is proposed, namely; Energy-Aware Routing (EAR), based on the findings obtained in this
paper. The performance of the proposed heuristic is evaluated using simulation. Preliminary results
show that the proposed scheme was able to prolong the network lifetime.