System lifetime optimization for heterogeneous sensor networks with a hub-spoke technology

• Published in: IEEE transactions on mobile computing 2004-07, Vol.3 (3), p.286-294
• Main Authors: Yong Ma, Aylor, J.H.
• Format: Magazinearticle
• Language: English
• Subjects: Architecture; Biomedical monitoring; Capacitive sensors; Communication system control; Communications networks; Computer networks; Construction; Home automation; Index Terms- Sensor networks; Network topology; Networks; Optimization; Routing (telecommunications); Routing protocols; Sensor phenomena and characterization; Sensor systems; Sensors; Stress; Topology; Wireless sensor networks
• ISSN: 1536-1233; 1558-0660
• DOI: 10.1109/TMC.2004.27

As a specific area of sensor networks, wireless in-home sensor networks differ from general sensor networks in that the network has nodes with heterogeneous resources and dissimilar mobility attributes. For example, sensor with different radio coverage, energy capacity, and processing capabilities are deployed, and some of the sensors are mobile and others are fixed in position. The architecture and routing protocol for this type of heterogeneous sensor networks must be based on the resources and characteristics of their member nodes. In addition, the sole stress on energy efficiency for performance measurement is not sufficient. System lifetime is more important in this case. We propose a hub-spoke network topology that is adaptively formed according to the resources of its members. A protocol named resource oriented protocol (ROP) was developed to build the network topology. This protocol principally divides the network operation into two phases. In the topology formation phase, nodes report their available resource characteristics, based on which network architecture is optimally built. We stress that due to the existence of nodes with limitless resources, a top-down appointment process can build the architecture with minimum resource consumption of ordinary nodes. In the topology update phase, mobile sensors and isolated sensors are accepted into the network with an optimal balance of resources. To avoid overhead of periodic route updates, we use a reactive strategy to maintain route cache. Simulation results show that the hub-spoke topology built by ROP can achieve much longer system lifetime.