Abstract
Dense Wireless Sensor Network Clouds have an inherent issue of latency and packet drops with regards to data collection. Though there is extensive literature that tries to address these issues through either scheduling, channel contention or a combination of the two, the problem still largely exists. In this paper, a Clustered Multi-Channel Scheduling Protocol (CMSP) is designed that creates a Voronoi partition of a dense network. Each partition is assigned a channel, and a scheduling scheme is adopted to collect data within the Voronoi partitions. This scheme collects data from the partitions concurrently and then passes it to the base station. CMSP is compared using simulation with other multi-channel protocols like Tree-based Multi-Channel, Multi-Channel MAC and Multi-frequency Media Access Control for wireless sensor networks. Results indicate CMSP has higher throughput and data delivery ratio at a lower power consumption due to network partitioning and hierarchical scheduling that minimizes load on the network.
Highlights
The Internet of Things (IoT) is bringing about the generation of connectivity that will create an explosion of wireless devices capable of sensing and actuation
The performance of CMSP is compared with Tree-based Multi-Channel (TMCP), Multi-frequency Media Access Control for WSN (MMSN), Multi-Channel Medium Access Control (MAC) (MC-LMAC)
Delivery ratio is the number of data packets successfully delivered to the total number of packets transmitted by the MAC layer
Summary
The Internet of Things (IoT) is bringing about the generation of connectivity that will create an explosion of wireless devices capable of sensing and actuation. Density of wireless sensor cloud nodes plays an important role in the design of an efficient network This dense network of nodes has a communication overhead that results in issues like energy expenditure, delay, throughput and reliability in terms of packet delivery. It utilises traffic patterns to switch the nodes to low power mode whereas S-MAC has a fixed duty cycle for its nodes These hybrid protocols leverage on combination of CSMA and TDMA to improve their performance, but, under high load conditions, their performance degrades to CSMA or TDMA. Having multiple channels reduces the packets’ losses, but the solution is bounded by the network node density and number of channels Keeping this observation in mind, this work focuses on designing a hybrid cluster based multi-channel protocol.
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