Abstract
Topology control is one of the significant research topics in traditional wireless networks. The primary purpose of topology control ensures the connectivity of wireless nodes participated in the network. Low-power Internet of Things communication networks look like wireless network environments in which the main communication devices are wireless devices with limited energy like battery. In this paper, we propose a distributed topology control algorithm by merging the combinatorial block design from a design theory with the multiples of 2. The proposed technique especially focuses on asynchronous and asymmetric neighbor discovery. The concept of block design is used to generate the neighbor discovery schedule when a target duty cycle is given. In addition, the multiples of 2 are applied to overcome the challenge of the block design and support asymmetric operation. We analyze the worst case discovery latency and energy consumption numerically by calculating the total number of slots and wake-up slots based on the given duty cycle. It shows that our proposed method has the smallest total number of slots and wake-up slots among existing representative neighbor discovery protocols. The numerical analysis represents the proposed technique find neighbors quickly with minimum battery power compared with other protocols for distributed topology control. For future research direction, we could perform a simulation study or real experiment to investigate the best parameter for choosing the multiple of a certain number.
Highlights
One of the most important features of topology control is connectivity between nodes in general network environments [1]
The sensor network assumes that wireless devices are stationary during their lifetime in the network, but this assumption might not work in low-power Internet of Things (IoT) communication networks
Enlightened by the combinatorial block designs from design theory, we proposed a distributed neighbor discovery algorithm for topology control in low-power IoT communication networks
Summary
One of the most important features of topology control is connectivity between nodes in general network environments [1]. Low-power IoT communications require an energy-efficient solution. In low-power communication networks, all of the nodes have restricted energy Non-power-saving mechanism could be used for fast neighbor discovery, but physical devices could be died before they find their neighbors, or they could survive at a shot time only This simple solution does not work in low-power IoT communication networks because each node is an energy-constraint device. Enlightened by the combinatorial block designs from design theory, we proposed a distributed neighbor discovery algorithm for topology control in low-power IoT communication networks. Based on the result of our numerical analysis, our solution achieved neighbor discovery asynchronously and asymmetric operation efficiently. The last section provides the conclusions of the paper and guides the future research direction
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