An efficient traffic contention and control mechanism to improve QoS in heterogeneous wireless sensor networks

Abstract

<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p>Heterogeneous Wireless Sensor Networks (HWSN) is the key to gather information from a cooperative network. Collective nodes are organized to form cooperative networks. In order to access the network resources, various protocols were introduced for portable devices. In HWSN, the sensor nodes are scattered, and the position of the nodes are altruistic. Hence, the main challenges in HWSN are topology control, battery optimization, packet loss and link lifetime. The existing techniques do not concentrate on all these issues at the same time. The objective of this work is to provide congestion-free data transfer with higher throughput, decreased packet drop ratio and minimum transmission delay. In the proposed methodology, three protocols are designed and developed, namely, Hop by Hop Rate Adjustment Protocol (HHRA), Energy Efficient Data Transfer Protocol (EEDT) and Alternative Routing Congestion Control Protocol (ARCC). The HHRA protocol senses the traffic in the channel and adjusts the transmission rate accordingly which controls the flow of data to avoid congestion. Secondly, the EEDT protocol is used to find specific nodes that are more efficient between the source to the sink and transfer data packets through those nodes which reduce the hop counts to minimize transmission delay. Thirdly, the ARCC protocol is used to redirect the path of transmission during the occurrence of congestion. Thus, the proposed work ensures congestion free transmission with the higher quality of service and minimum transmission delay.</p><p> </p></td></tr></tbody></table>

Review of random early detection optimization for congestion control in vehicular ad hoc networks

“…-Understanding the congestion pattern, is it the resource constraint or demand pressure and then devise the strategy for improving the situation. This leads further to conventional route for optimization [28] of resource elevation and demand reduction in a better way. This, in turn applies to areas mentioned in the point (1) above.…”

Enhancing routing efficiency in social internet of things: R-OPTICS and vEBT based congestion free model

“…Marietta et al[10] discussed critical IoT issues, emphasizing optimal routing. Ganesh et al[11] presented heterogeneous wireless sensor networks (HWSNs) and introduced protocols to enhance performance. Noureddine et al[12] introduced a grid-based routing method for energy efficiency, validated through MATLAB simulations.…”