MCDM-ECP: Multi Criteria Decision Making Method for Emergency Communication Protocol in Disaster Area Wireless Network

Wang, Xiaoming; Li, Demin; Zhang, Xiaolu; Cao, Yanghui

doi:10.3390/app8071165

Cited by 12 publications

(4 citation statements)

References 36 publications

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“…In [ 39 ], a hybrid network architecture for disaster area wireless networks (DAWNs) is proposed. To find the ideal next-hop node in DAWNs, researchers applied a multi-criteria decision-making method for emergency communication protocol (MCDM-ECP) that makes use of the analytic hierarchy process (AHP) method and the technique for order preference by similarity to an ideal solution (TOPSIS) method.…”

Section: Literature Surveymentioning

confidence: 99%

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

Saad

Jaafar

Chellappan

2023

Sensors

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Data gathering in wireless sensor networks (WSNs) is vital for deploying and enabling WSNs with the Internet of Things (IoTs). In various applications, the network is deployed in a large-scale area, which affects the efficiency of the data collection, and the network is subject to multiple attacks that impact the reliability of the collected data. Hence, data collection should consider trust in sources and routing nodes. This makes trust an additional optimization objective of the data gathering in addition to energy consumption, traveling time, and cost. Joint optimization of the goals requires conducting multiobjective optimization. This article proposes a modified social class multiobjective particle swarm optimization (SC-MOPSO) method. The modified SC-MOPSO method is featured by application-dependent operators named interclass operators. In addition, it includes solution generation, adding and deleting rendezvous points, and moving to the upper and lower class. Considering that SC-MOPSO provides a set of nondominated solutions as a Pareto front, we employed one of the multicriteria decision-making (MCDM) methods, i.e., simple additive sum (SAW), for selecting one of the solutions from the Pareto front. The results show that both SC-MOPSO and SAW are superior in terms of domination. The set coverage of SC-MOPSO is 0.06 dominant over NSGA-II compared with only a mastery of 0.04 of NSGA-II over SC-MOPSO. At the same time, it showed competitive performance with NSGA-III.

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Section: Literature Surveymentioning

confidence: 99%

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

Saad

Jaafar

Chellappan

2023

Sensors

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“…Case 5: Recalculate the weights of each candidate node according to MCDM-ECP algorithm [22] and then select N OPT .…”

Section: Routing Discover and Maintainmentioning

confidence: 99%

A four-quadrant mobility model-based routing protocol for post-earthquake emergency communication network

Wang

Guo

2021

J Wireless Com Network

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Emergency communication network (ECN) is the important infrastructure to acquire the real-time information after disaster, which is essential for rescue task. However, the existed routing protocols seldom consider the uneven distribution of rescue area so that cannot satisfy the ECN’s requirement and the quality of rescue needs improvement. In this paper, we avoided the traditional linear propulsion from rim to core and proposed a novel four-quadrant mobility model (FQMM), which makes rescuers arrive the most intensity core area first, which can improve the rescue quality. Then, a FQMM-based protocol (FQMMBP) for ECN is designed, which aims to improve the performance of ECN in terms of package delivery rate (PDR) and end-to-end delay. Finally, we set up a virtual earthquake scenario to simulate our proposed protocol in NS2. Results show that the proposed protocol outperforms to the three compared routing protocols, i.e., AODV, DSDV and DSR. The average FDR is improved by 16.31%, and the average reduction of delay is 64.45%, which shows our proposed scheme’s advantages in quality of rescue.

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“…The most widely used multi-attribute decision-making methods include the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy theory and DS evidence theory. In some routing protocols [11,15,16] that use TOPSIS, such as the Multi-criteria based centralities measures routing protocol (MCRP) [15], it is mainly to sort multiple network attribute matrices to obtain the optimal solution. However, the routing decision using the TOPSIS can only reflect the relative closeness of each attribute to its ideal solution, which does not reflect the closeness to the overall ideal solution.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient and Reliable Routing Algorithm for Wireless Sensors Networks

Tang

Fan

2020

Applied Sciences

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In energy-constrained wireless sensor networks, low energy utilization and unbalanced energy distribution are seriously affecting the operation of the network. Therefore, efficient and reasonable routing algorithms are needed to achieve higher Quality of Service (QoS). For the Dempster–Shafer (DS) evidence theory, it can fuse multiple attributes of sensor nodes with reasonable theoretical deduction and has low demand for prior knowledge. Based on the above, we propose an energy efficient and reliable routing algorithm based on DS evidence theory (DS-EERA). First, DS-EERA establishes three attribute indexes as the evidence under considering the neighboring nodes’ residual energy, traffic, the closeness of its path to the shortest path, etc. Then we adopt the entropy weight method to objectively determine the weight of three indexes. After establishing the basic probability assignment (BPA) function, the fusion rule of DS evidence theory is applied to fuse the BPA function of each index value to select the next hop. Finally, each node in the network transmits data through this routing strategy. Theoretical analysis and simulation results show that DS-EERA is promising, which can effectively prolong the network lifetime. Meanwhile, it can also reach a lower packet loss rate and improve the reliability of data transmission.

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MCDM-ECP: Multi Criteria Decision Making Method for Emergency Communication Protocol in Disaster Area Wireless Network

Cited by 12 publications

References 36 publications

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

A four-quadrant mobility model-based routing protocol for post-earthquake emergency communication network

Energy Efficient and Reliable Routing Algorithm for Wireless Sensors Networks

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