Abstract
An optimised logical topology facilitates the sensors of a network to communicate with each other with little overheads, lower energy consumption, and reduced latency. It also lengthens the lifetime of the network, provides scalability, and increases reliability in communications. However, designing an optimal logical topology for wireless sensor networks requires considering numerous factors. In this paper, we elaborately discuss these design issues and challenges. We also present a chain oriented logical topology, which offers solutions to those design issues. The proposed logical topology provides not only a communication abstraction, but also node management and resource management. The performance of the proposed topology is compared with other topologies with respect to energy consumptions, latency, and lifetime of the network.
Highlights
Wireless sensor networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment
As logical topology inherently defines the type of routing paths, indicates whether to use broadcast or unicast, and determines the sizes and types of packets and other overheads, choosing the right topology helps to reduce the amount of communication needed for a particular problem
We describe the proposed multiple chain oriented logical topology using a two-layer model, the number of layers can be extended based on the number of sensor nodes in the target field
Summary
Wireless sensor networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment. With the sheer number of sensor nodes, their unattended deployment and hostile environment very often preclude reliance on physical configuration or physical topology. It is, often necessary to depend on the logical topology. As logical topology inherently defines the type of routing paths, indicates whether to use broadcast or unicast, and determines the sizes and types of packets and other overheads, choosing the right topology helps to reduce the amount of communication needed for a particular problem. Topology facilitates data aggregation, which greatly reduces the amount of processing cycles and energy, resulting in a longer lifetime for the network [4,5]. With the awareness of the underlying network topology, more efficient routing or broadcasting schemes can be achieved
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