An Efficient Access Technique based on Clustering and Resources Sharing for Machine Type Communication over LTE Network

Machine Type Communication (MTC) over the cellular network plays an important role in many smart applications. Long Term Evolutionary (LTE) network is considered the best cellular network for deploying the MTC devices in remote areas because of its high data rate and wide coverage area. The massive access of the MTC devices over LTE network results in poor network performance due to the high collision rate, high retransmission rate, high overhead, high delay, low throughput, and high power wastage. This paper proposes a new access technique to increase the access performance for MTC over LTE network. It is based on the clustering and grouping approach and resources sharing using the capillary network without using cluster head/helper node. In the proposed technique, MTC devices are divided into WLAN groups based on the geographical distance. In each WLAN, an MTC device can ask for uplink resources for data transmission from eNB for individual use or a group use. The MTC device shares the allocated resources with other devices inside its WLAN after finishing its data transmission using Distributed List Hub Polling (DLHPL) MAC protocol. The other devices inside the same WLAN can contend locally on these free resources without querying the eNB. The devices send data frames over LTE using these shared uplink resources without the need to relay it through a head node. The experimental results show that the proposed access technique gives lower collision rate, higher access probability, higher transmission opportunity, higher resources utilization, lower overhead, higher throughput, and lower delay compared with other recent techniques