Wireless sensor networks have a large number of limited-energy sensor nodes dispersed in a finite area. Most node energies are used to send data to the central station. Due to the energy constraints in this type of grid, increasing life expectancy has always been a conc More
Wireless sensor networks have a large number of limited-energy sensor nodes dispersed in a finite area. Most node energies are used to send data to the central station. Due to the energy constraints in this type of grid, increasing life expectancy has always been a concern with decreasing energy consumption. The aim of this study is to provide surface clustering based on genetic algorithm in order to increase the life span of these networks. In proposed surface clustering, the geographic area is divided into three levels according to the radio range and the clustering of the nodes of each level is done individually. The cluster heads use more energy than other nodes to send information, so the proposed algorithm aims to reduce the number of cluster heads in order to increase the network lifetime. Finally, by changing the clusters in each routing round, there is a greater energy balance between the nodes. The results from the experiments indicate the superiority of the proposed algorithm in transmitting messages and network lifetimes over other similar protocols.
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Vehicle ad-hoc networks are examples of mobile ad-hoc networks where vehicles are the mobile nodes. Inthese networks, vehicles are interconnected and can send messages to each other, but also to the roadsideinfrastructure. In such networks, routing is essential for netw More
Vehicle ad-hoc networks are examples of mobile ad-hoc networks where vehicles are the mobile nodes. Inthese networks, vehicles are interconnected and can send messages to each other, but also to the roadsideinfrastructure. In such networks, routing is essential for network design. Poor design causes seriousproblems for vehicle networks. Multi-hop data transmission over VANET networks is a complex task,since network nodes are very mobile and therefore very likely to be disconnected. Therefore, informationdissemination techniques in car networks are very important and have received special attention in recent years. In this research, we present a distributed routing protocol with end-to-end delay computation approach to the generated paths before sending the data packet. This protocol creates a stable backbone on the road components and connects them through bridge nodes. Bridge nodes allocate weight to road components, which it does on the basis of information gathered from delays in routes and communication quality. The simulation results show the success of the proposed protocol compared to two well-known vehicle network protocols including AODV and AOMDV.
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The internet of things (IoT) faces various challenges due to its different characteristics and due to the nov­elty of related technologies and standards. The existence of these different and at the same time new problems has drawn the attention of many scientific re More
The internet of things (IoT) faces various challenges due to its different characteristics and due to the nov­elty of related technologies and standards. The existence of these different and at the same time new problems has drawn the attention of many scientific researchers toward this new technology. One of the most important and fundamental challenges is related to the topic of routing protocols in static and mobile networks, and more precisely, optimizing and improving the quality of service of it. In this work, a novel flexible, scalable, and efficient routing protocol named MLOADng-AT (mobile lightwe­ig­ht on-demand ad hoc distance vector routing protocol– analytic hierarchy process echnique for order of preference by similarity to ideal solution) has been introduced to overcome the routing challenges in mobile scenarios. Using MLOADng-AT, firstly, taking advantage of the HELLO message, infor­mation about link quality parameters and mobility characteristics up to two hops is exchanged among static and mobile nodes. Moreover, it supports an error recovery path without rerunning a new routing process that noticeably decreases the network routing delay. MLOADng-AT can be easily adapted to any quality of service (QoS) parameter with very low complexity which is very important for a delay-sensitive IoT-based network. Finally, in case of noisy conditions especially for mobile networks, the proposed protocol can be efficiently used in low-quality links. Simulation results based on several scenarios depicted that end-to-end delay (EED) and packet delivery ratio (PDR) parameters significantly improved in the proposed method compared to other similar methods. For the area with dimensions of 400 x 200 m2, the obtained values of the EED and PDR parameters are respectively 0.0011 seconds and 98.47%, and also for the scenarios implemented in the area of 800 x 400 m2, the achieved results of the EED and PDR parameters are respectively 0.0059 seconds and 86.167%.
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