Abstract
Hybrid wireless mesh networks are suitable to construct emergency communication networks after disasters in underground mines. The routing decision in emergency scene is more difficult to give an accurate mathematical description due to the constraints of various data types, different data transmission requirements, and multi-parameters. Based on the fuzzy decision theory, this article has proposed a fuzzy-logic-based data-differentiated service supported routing protocol. Through the use of the adaptive fuzzy decision system, fuzzy-logic-based data-differentiated service supported routing protocol can provide data-differentiated services and make optimized routing decisions to satisfy the transmission requirements of different data types. In addition, a path soft handoff strategy has been proposed to maintain continuous data transmission when the path quality deteriorates. Based on NS2, we set three transmission scenarios (transmitting emergency data, regular data, or mixed data) to test the performances of fuzzy-logic-based data-differentiated service supported routing protocol, ad hoc on-demand distance vector, FUZZY-ad hoc on-demand distance vector, and multi-criteria routing metric. The results show that the fuzzy-logic-based data-differentiated service supported routing protocol has a higher delivery ratio and lower end-to-end delay when transmitting emergency data. When transmitting regular data, fuzzy-logic-based data-differentiated service supported routing protocol has achieved higher throughput and longer network lifetime than that of similar algorithms.
Highlights
Coal mining environment is complex and accompanied by many risk factors such as high dust content, loud noises, and toxic gases
fuzzy-logic-based data-differentiated service supported routing protocol (FDDSP) takes path transmission quality (PTQ) and path residual energy (PRE) as fuzzy inputs to avoid choosing the path with low transmission quality and less residual energy
The transmission of regular data can effectively avoid the use of heavy load nodes in multi-criteria routing metric (MRM), but the delay caused by node early death cannot be solved because of using a low-energy node
Summary
Coal mining environment is complex and accompanied by many risk factors such as high dust content, loud noises, and toxic gases. It is necessary to build an emergency communication network in an underground mine (ECNUM) through the remaining network equipment and communication clients. HWMNs in long and narrow tunnels mostly have long-chain structures.[4] The network topology after a disaster is shown, where GW is a gateway node installed in the hole at the blocking area. The network quality of service (QoS) requirements for emergency data and regular data are different. It is necessary to provide differentiated services for different types of data when designing the ECNUM routing protocol. When regular data are transmitted in the ECNUM, energy balance and load balance should be achieved to maximize the network lifetime through data routing. Designing a routing algorithm in the ECNUM needs to consider multiple network parameters to satisfy various QoS requirements, which is a multiple input single output (MISO) problem. The conclusion of the study is presented in section ‘‘Conclusion.’’
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