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Journal articles on the topic 'Maximum network lifetime routing'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Rahat, Alma A. M., Richard M. Everson, and Jonathan E. Fieldsend. "Hybrid Evolutionary Approaches to Maximum Lifetime Routing and Energy Efficiency in Sensor Mesh Networks." Evolutionary Computation 23, no. 3 (2015): 481–507. http://dx.doi.org/10.1162/evco_a_00151.

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Mesh network topologies are becoming increasingly popular in battery-powered wireless sensor networks, primarily because of the extension of network range. However, multihop mesh networks suffer from higher energy costs, and the routing strategy employed directly affects the lifetime of nodes with limited energy resources. Hence when planning routes there are trade-offs to be considered between individual and system-wide battery lifetimes. We present a multiobjective routing optimisation approach using hybrid evolutionary algorithms to approximate the optimal trade-off between the minimum life

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Jain, Sourabh. "Energy Efficient Maximum Lifetime Routing For Wireless Sensor Network." International Journal of Advanced Smart Sensor Network Systems 2, no. 1 (2012): 107–11. http://dx.doi.org/10.5121/ijassn.2012.2101.

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Nguyen, Phi Le, Thanh Hung Nguyen, and Kien Nguyen. "A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes." Sensors 20, no. 9 (2020): 2506. http://dx.doi.org/10.3390/s20092506.

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In wireless sensor networks (WSNs) with holes, designing efficient routing protocols, which prolong the network lifetime, is one of the most critical issues. To this end, this paper proposes a new geographic routing protocol for WSNs named the load Balanced and constant Stretch protocol for bypassing Multiple Holes (i.e., BSMH). In contrast to the existing works in the literature, the design of BSMH simultaneously takes into account the three factors that impacted the network lifetime, including routing path length, control packet overhead, and load balance among the nodes. Moreover, BSMH aims

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Jung, Changsu, and Kijun Han. "Maximum Power Plus RSSI Based Routing Protocol for Bluetooth Low Energy Ad Hoc Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/9843825.

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This paper proposes a novel energy-conserving multihop routing protocol to maximize network lifetime and consume the battery in a distributed manner during route discovery in energy-constrained Bluetooth Low Energy ad hoc networks. Furthermore, a flooding avoidance approach is adopted by the proposed scheme to minimize the number of route request packets flooded. In addition, the proposed scheme maximizes network lifetime by using residual battery and RSSI as a route metric. The simulation results confirm that our proposed scheme has a surpassing performance with regard to network lifetime, ev

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Chang, J. H., and L. Tassiulas. "Maximum Lifetime Routing in Wireless Sensor Networks." IEEE/ACM Transactions on Networking 12, no. 4 (2004): 609–19. http://dx.doi.org/10.1109/tnet.2004.833122.

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Umashankar, M. L., S. Mallikarjunaswamy, and M. V. Ramakrishna. "Design of High Speed Reconfigurable Distributed Life Time Efficient Routing Algorithm in Wireless Sensor Network." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3860–66. http://dx.doi.org/10.1166/jctn.2020.8975.

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Designing an energy-efficient routing makes the Wireless Sensor Networks (WSN) more effective and attractive for different applications. The WSN communication system power consumption mainly depends on three aspects such as routing cost computation, signal interference, and routing distance. All three factors are equally important in order to improve the network performance. The system reliability and deployment cost depends on the energy efficiency of the WSN. The energy related cost assignment and shortest paths identification are used in existing routing techniques. In the existing routing

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Leabi, Safaa, and Turki Abdalla. "Fuzzy Transmission Power Control Scheme for Maximizing Lifetime in Wireless Sensor Networks." Iraqi Journal for Electrical and Electronic Engineering 11, no. 2 (2015): 174–82. http://dx.doi.org/10.37917/ijeee.11.2.4.

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Energy limitations have become fundamental challenge for designing WSNs. Network lifetime is the most interested and important metric in WSNs. Many works have been developed for prolonging networks lifetime, in which one of the important work is the control of transmission power. This paper proposes a new fuzzy transmission power control technique that operate together with routing protocols for prolonging WSNs lifetime. Dijkstra shortest path routing is considered as the main routing protocol in this work. This paper mainly focuses on transmission power control scheme for prolonging WSNs life

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Bhardwaja, Manish, and Anil Ahlawat. "Evaluation of Maximum Lifetime Power Efficient Routing in Ad hoc Network Using Magnetic Resonance Concept." Recent Patents on Engineering 13, no. 3 (2019): 256–60. http://dx.doi.org/10.2174/1872212112666180815120447.

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Background: A mobile Ad-hoc Network is a network in which each node is independent of all other nodes of the network. In MANETs, nodes do not have proper infrastructure. The power source of the Mobile Ad-hoc network is battery power. As we all know, battery power has a certain limit and problems. Objective: The main objective of this manuscript is to resolve the power problem of nodes of mobile ad hoc networks and increase the lifetime of the network. Methods: This paper implements the concept of wireless power transfer between the nodes of Adhoc network and transfers the power to these nodes

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Et. al., Srinivasulu M,. "A COMPREHENSIVE REVIEW OF ENERGY-BASED ROUTING STRATEGIES FOR INTERNET OF THINGS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 1031–44. http://dx.doi.org/10.17762/itii.v9i2.449.

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IoT is the acronym for Internet of Things acronym. At present IoT is a buzzword amongst academia, research and industry communities. Everything surrounded by us have developed abilities to communicate via the medium of internet. The Routing information plays a vital role in establishing communication between nodes in the space of IoT. Maximum energy of such connected nodes is consumed in the process of routing the packets. In this context optimizing the network lifetime with minimal energy consumption becomes important for efficient implementation of IoT infrastructure. This literature review

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Ji, Xiaopeng, Cunlai Pu, and Jie Li. "Packet transmission with a lifetime constraint in scale-free networks." International Journal of Modern Physics C 29, no. 09 (2018): 1850089. http://dx.doi.org/10.1142/s0129183118500894.

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In this paper, we study how the lifetime of packets impacts the overall transmission capacity of scale-free communication networks. In our model, we observed an abrupt phase transition of packet loss rate when the packet generation rate increases, based on which we redefined the network capacity as the critical packet generation rate of packet loss. Then, we found a sharp phase transition of network capacity with the increase of packet lifetime, which is also predicted by our analytical results of network capacity. Moreover, we obtained that there is an optimal routing parameter of the tunable

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Gurlhosur, Punam Karadge, and Dr S. V. Sankpal. "Performance Analysis of AODV Based Maximum Energy Level Routing in Ad-Hoc Networks." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 6, no. 1 (2013): 658–64. http://dx.doi.org/10.24297/ijmit.v6i1.742.

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Advances in wireless communications have enabled the development of networks of a large number of small inexpensive, low-power multifunctional devices. These wireless Adhoc networks present a very interesting and challenging area and have tremendous potential applications. Communication protocols are the heart and soul of any communication network and the same is true for the Adhoc networks. Because of their great potential for providing safer and healthier environments for human beings they have attracted extensive interest from industry and academia. These Adhoc networks are usually operated

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GUO, WENJING, and WEI ZHANG. "ROUTING BETWEEN NODES AND MULTIPLE GATEWAYS IN WIRELESS MESH SENSOR NETWORK." Journal of Circuits, Systems and Computers 20, no. 08 (2011): 1477–503. http://dx.doi.org/10.1142/s0218126611008067.

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Aiming at such an application of wireless mesh sensor network (WMSN) so that continuous flow is transmitted, this paper proposes a model "maximum lifetime maximum throughput" based on the ant colony algorithm and minimum cost maximum flow method to address the routing issue between sensor nodes and multiple gateways in WMSN. In the proposed model, a sensor node is allowed to connect through more than one of the available gateways to the Internet. Between the source node and each gateway, a routing path with minimum link cost and maximum available bandwidth is attempted to be found. Then, consi

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Hua, Cunqing, and Tak-Shing Peter Yum. "Data aggregated maximum lifetime routing for wireless sensor networks." Ad Hoc Networks 6, no. 3 (2008): 380–92. http://dx.doi.org/10.1016/j.adhoc.2007.02.006.

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Kartal Çetin, Bilge, Neeli R. Prasad, and Ramjee Prasad. "Maximum Lifetime Routing Problem in Duty-Cycling Sensor Networks." Wireless Personal Communications 72, no. 1 (2013): 101–19. http://dx.doi.org/10.1007/s11277-013-1003-5.

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Amalarethinam, Dr D. I. George, and Ms P. Mercy. "Enhanced Quality of Service Strategy for Improving Network Coverage in IOT Applications." Journal of University of Shanghai for Science and Technology 23, no. 05 (2021): 694–707. http://dx.doi.org/10.51201/jusst/21/05201.

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The Internet of Things (IoT) is a network that includes physical things capable of aggregating and communicating electronic information. With the advancement in wireless sensor networks, IoT provides highly efficient communication for various real-time applications. IoT networks are large-scale networks where routing can be improved by focusing on the Quality of Service (QoS) Parameter. Network coverage can be enhanced by hierarchical clustering of the nodes which increases the network lifetime. The proposed algorithm Enhanced Fuzzy Based Clustering and Routing Algorithm (EFCRA) performs dista

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Huang, Zhi. "A Genetic Algorithm Based Minimal Maximal Load Tree Routing Algorithm in Wireless Sensor Networks." Journal of Electrical and Computer Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/258343.

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The key issue of static routing algorithms is how to construct an energy efficient routing tree that is utilized during the whole network duration in order to extend network lifetime. In this paper, we have illuminated that, in applications that define network lifetime as the time when the first sensor dies, the optimal routing tree should be the routing tree with minimal maximal load of all sensors and named such trees the Minimal Maximal Load Tree (MMLT). Since the procedure of constructing a routing tree is complex and the number of possible routing trees in a network is very huge, we have

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17

Lv, Yong. "An Energy Aware Routing Based on Swarm Intelligence for Wireless Sensor Networks." Advanced Materials Research 706-708 (June 2013): 635–38. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.635.

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Wireless Sensor Networks consisting of nodes with limited power are deployed to collect and distribute useful information from the field to the other sensor nodes. Energy consumption is a key issue in the sensor’s communications since many use battery power, which is limited. In this paper, we describe a novel energy efficient routing approach which combines swarm intelligence, especially the ant colony based meta-heuristic, with a novel variation of reinforcement learning for sensor networks (ARNet). The main goal of our study was to maintain network lifetime at a maximum, while discovering t

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Madan, R., and S. Lall. "Distributed algorithms for maximum lifetime routing in wireless sensor networks." IEEE Transactions on Wireless Communications 5, no. 8 (2006): 2185–93. http://dx.doi.org/10.1109/twc.2006.1687734.

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19

Khernane, Nesrine, Jean-François Couchot, and Ahmed Mostefaoui. "Maximum network lifetime with optimal power/rate and routing trade-off for Wireless Multimedia Sensor Networks." Computer Communications 124 (June 2018): 1–16. http://dx.doi.org/10.1016/j.comcom.2018.04.012.

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Hoque, M. M., M. G. Rashed, M. H. Kabir, A. F. M. Z. Abadin, and M. I. Pramanik. "EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks." Journal of Scientific Research 13, no. 2 (2021): 467–81. http://dx.doi.org/10.3329/jsr.v13i2.50005.

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In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads (CHs) are selected from the normal sensors which may expire rapidly due to fast energy diminution for such an additional workload. As a consequence, the network lifetime of such cluster-based routing protocol reduces drastically. To resolve these constraints, in this study, we proposed a gateway-based routing protocol-namely Energy-Aware Gateway Based Routing Protocol (EAGBRP) for WSNs. In our proposed protocol, the deployed sensor nodes of a WSN were divided into five logical regions based on the

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21

Wu, Qui Yun, Xiang Hui Liu, and Ning Jing. "Coverage-Preserving Multi-Path Routing Algorithm for Wireless Sensor Networks." Advanced Materials Research 225-226 (April 2011): 199–202. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.199.

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A major challenge in sensor network is to preserve the coverage of the sensing network for the maximum possible time. When the density is sparse, coverage needs to be preserved by using energy-efficient route-selection algorithms. Coverage-preserving multi-path routing algorithm has been proposed that conserve energy while increasing the lifetime of routes and keep preserving network coverage.

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Salim, Rigil, and Rajarshi Roy. "Network Coding-aware Lifetime Maximal routing in Multi-hop Static Wireless Ad-hoc Networks." Journal of Communications Software and Systems 10, no. 1 (2014): 1. http://dx.doi.org/10.24138/jcomss.v10i1.135.

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In this paper, we address the issue of maximizing the lifetime of a static wireless ad-hoc network wherein the nodes are battery powered and have limited energy. In such scenarios, routing the traffic along shortest paths will lead to over-use of some nodes leading to premature network partition and an eventual end of communication. Network Coding is a promising technique that has been used, of late, by researchers for throughput improvement. We propose an algorithm that exploits network coding to route a set of unicast traffic demands, the objective being network lifetime maximization. The ro

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Yee, Por Lip, Shahid Mehmood, Ahmad Almogren, Ihsan Ali, and Mohammad Hossein Anisi. "Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks." PeerJ Computer Science 6 (December 7, 2020): e326. http://dx.doi.org/10.7717/peerj-cs.326.

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Opportunistic routing is an emerging routing technology that was proposed to overcome the drawback of unreliable transmission, especially in Wireless Sensor Networks (WSNs). Over the years, many forwarder methods were proposed to improve the performance in opportunistic routing. However, based on existing works, the findings have shown that there is still room for improvement in this domain, especially in the aspects of latency, network lifetime, and packet delivery ratio. In this work, a new relay node selection method was proposed. The proposed method used the minimum or maximum range and op

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XIE, MENG, and HONGCHI SHI. "IN-NETWORK DATA AGGREGATION VIA ANT-COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS." Journal of Interconnection Networks 13, no. 03n04 (2012): 1250013. http://dx.doi.org/10.1142/s0219265912500132.

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Energy efficiency is an important issue of wireless sensor networks. In-network data aggregation is a data collection technique that improves energy efficiency and alleviates congestive routing traffic by reducing data forwarding in wireless sensor networks. Ant-colony aggregation is a distributed algorithm that provides an intrinsic way of exploring the search space to optimize settings for optimal data aggregation. This paper aims to refine the heuristic function and the aggregation node selection method to maximize energy efficiency and to extend network lifetime. Two proposed algorithms ar

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Akbar, Mariam, Nadeem Javaid, Zahoor Ali Khan, et al. "Towards Network Lifetime Maximization: Sink Mobility Aware Multihop Scalable Hybrid Energy Efficient Protocols for Terrestrial WSNs." International Journal of Distributed Sensor Networks 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/908495.

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We propose two routing protocols for Terrestrial Wireless Sensor Networks (TWSNs): Hybrid Energy Efficient Reactive (HEER) and Multihop Hybrid Energy Efficient Reactive (MHEER) routing protocol. The main purpose of designing these protocols is to improve the network lifetime and particularly the stability period of the underlying network. In MHEER, the node with the maximum energy in a region becomes cluster head (CH) of that region for that particular round (or cycle) of time and the number of the CHs in each round remains the same. Our techniques outperform the well-known existing routing pr

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Ni, Ming, Kai Guo Qian, Yong Gang Xie, and Zu Cheng Dai. "A Sensor Network Routing Protocol Based on Node Residual Energy." Advanced Materials Research 816-817 (September 2013): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.1081.

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This paper mainly discusses the problem of wireless sensor network routing protocols. The flooding routing protocol has disadvantages of hidden terminal, information implosion and emerging redundant packet copies which consume more node energy. A sensor network routing protocol based on node residual energy (RPBEN) is proposed and evaluated. The new protocol choices a small number of nodes that have maximum remaining energy as next hop routing nodes. It saves the energy by avoiding redundancy packet copies produced and improve the disadvantages of flooding routing protocol. Performance analysi

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Rajeshkanna, B., and M. Anitha. "Energy Potent Shortcut Tree Routing in Zigbee Networks." International Journal of Engineering & Technology 7, no. 4.10 (2018): 857. http://dx.doi.org/10.14419/ijet.v7i4.10.26775.

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ZigBee is an international standard for low-power and low-data rate WPAN. ZigBee works on IEEE 802.15.4 MAC and physical layers. Its network layer is liable to facilitate routing in networks. To provide a near optimal routing path as well as to balance the load and energy over the nodes, Energy-efficient shortcut tree routing (ESTR) protocol suggested an optimization method with three criteria such as minimum hop-counts, minimum congestion and maximum link quality. This paper proposes an Energy potent shortcut tree routing (EPSTR) that adds one more criterion called minimum failure-transmissio

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Wei, Wenhong, Yong Qin, and Zhaoquan Cai. "A multi-objective multicast routing optimization based on differential evolution in MANET." International Journal of Intelligent Computing and Cybernetics 11, no. 1 (2018): 121–40. http://dx.doi.org/10.1108/ijicc-02-2017-0016.

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Purpose The purpose of this paper is to propose a multi-objective differential evolution algorithm named as MOMR-DE to resolve multicast routing problem. In mobile ad hoc network (MANET), multicast routing is a non-deterministic polynomial -complete problem that deals with the various objectives and constraints. Quality of service (QoS) in the multicast routing problem mainly depends on cost, delay, jitter and bandwidth. So the cost, delay, jitter and bandwidth are always considered as multi-objective for designing multicast routing protocols. However, mobile node battery energy is finite and

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Mukhtar, Muhammad Fahad, Muhammad Shiraz, Qaisar Shaheen, Kamran Ahsan, Rizwan Akhtar, and Wang Changda. "RBM: Region-Based Mobile Routing Protocol for Wireless Sensor Networks." Wireless Communications and Mobile Computing 2021 (February 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/6628226.

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Wireless sensor networks (WSNs) are employed for different applications for the reason of small-sized and low-cost sensor nodes. However, several challenges that include a low powered battery of the sensor nodes restrict their functionality. Therefore, saving energy in the routing process to extend network life is a serious concern while deploying applications on WSN. To this end, the key technology is clustering, which helps maximize scalability and network lifecycle. Base station (BS) collects data, aggregates it, and extracts the required information. To obtain the maximum outcome, the life

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Ji, Xiaopeng, Cunlai Pu, and Jie Li. "Energy-constrained transmission on hybrid communication networks." International Journal of Modern Physics C 29, no. 11 (2018): 1850114. http://dx.doi.org/10.1142/s0129183118501140.

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The real communication systems usually consist of different types of agents, e.g. computers, routers, base stations and mobile phones, forming various hybrid communication networks. Furthermore, in many cases, those agents are energy-constrained resulting in a limited lifetime of the communication networks. We proposed a hybrid communication network model composed of energy-constrained base stations and mobile users, and further gave a novel energy-aware gateway selection strategy to balance the energy consumption of base stations. We developed a new metric of nodes, called node forwarding str

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31

XIE, Zhi-Peng, and Qing ZHANG. "Truthful Mechanisms for Maximum Lifetime Routing in Wireless Ad Hoc Networks." Journal of Software 20, no. 9 (2009): 2542–57. http://dx.doi.org/10.3724/sp.j.1001.2009.00570.

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Abidoye, Ademola P. "Energy Efficient Routing Protocol for Maximum Lifetime in Wireless Sensor Networks." International Journal of Information Technology and Computer Science 10, no. 4 (2018): 33–45. http://dx.doi.org/10.5815/ijitcs.2018.04.04.

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Park, J., and S. Sahni. "An online heuristic for maximum lifetime routing in wireless sensor networks." IEEE Transactions on Computers 55, no. 8 (2006): 1048–56. http://dx.doi.org/10.1109/tc.2006.116.

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Paschalidis, Ioannis Ch, and Ruomin Wu. "Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 8 (2012): 523787. http://dx.doi.org/10.1155/2012/523787.

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Kariman-Khorasani, Mohsen, and Mohammad Ali Pourmina. "Maximum lifetime routing problem in asynchronous duty-cycled wireless sensor networks." Wireless Networks 21, no. 8 (2015): 2501–17. http://dx.doi.org/10.1007/s11276-015-0931-2.

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Cui, Y., Y. Xue, and K. Nahrstedt. "A Utility-Based Distributed Maximum Lifetime Routing Algorithm for Wireless Networks." IEEE Transactions on Vehicular Technology 55, no. 3 (2006): 797–805. http://dx.doi.org/10.1109/tvt.2006.873844.

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ATTOUNGBLE, Jean Marc Kouakou, and Kazunori OKADA. "A Novel Energy Efficient Routing Protocol for Wireless Sensor Networks: Greedy Routing for Maximum Lifetime." IEICE Transactions on Communications E95.B, no. 12 (2012): 3802–10. http://dx.doi.org/10.1587/transcom.e95.b.3802.

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Qu, Yating, Guoqiang Zheng, Honghai Wu, Baofeng Ji, and Huahong Ma. "An Energy-Efficient Routing Protocol for Reliable Data Transmission in Wireless Body Area Networks." Sensors 19, no. 19 (2019): 4238. http://dx.doi.org/10.3390/s19194238.

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Wireless body area networks will inevitably bring tremendous convenience to human society in future development, and also enable people to benefit from ubiquitous technological services. However, one of the reasons hindering development is the limited energy of the network nodes. Therefore, the energy consumption in the selection of the next hop must be minimized in multi-hop routing. To solve this problem, this paper proposes an energy efficient routing protocol for reliable data transmission in a wireless body area network. The protocol takes multiple parameters of the network node into acco

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Alia, Osama Moh’d. "A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/647281.

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Energy conservation in wireless sensor networks (WSNs) is a vital consideration when designing wireless networking protocols. In this paper, we propose a Decentralized Fuzzy Clustering Protocol, named DCFP, which minimizes total network energy dissipation to promote maximum network lifetime. The process of constructing the infrastructure for a given WSN is performed only once at the beginning of the protocol at a base station, which remains unchanged throughout the network’s lifetime. In this initial construction step, a fuzzy C-means algorithm is adopted to allocate sensor nodes into their mo

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Papadimitriou, Ioannis, and Leonidas Georgiadis. "Energy-aware Routing to Maximize Lifetime in Wireless Sensor Networks with Mobile Sink." Journal of Communications Software and Systems 2, no. 2 (2017): 141. http://dx.doi.org/10.24138/jcomss.v2i2.297.

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In this paper we address the problem of maximizing the lifetime in a wireless sensor network with energy and powerconstrained sensor nodes and mobile data collection point (sink). Information generated by the monitoring sensors needs to be routed efficiently to the location where the sink is currently located across multiple hops with different transmission energy requirements. We exploit the capability of the sink to be located in different places during network operation in order to maximize network lifetime. We provide a novel linear programming formulation of the problem. We show that maxi

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Chen, Yourong, Xiaowen Lv, Siyi Lu, and Tiaojuan Ren. "A Lifetime Optimization Algorithm Limited by Data Transmission Delay and Hops for Mobile Sink-Based Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7507625.

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To improve the lifetime of mobile sink-based wireless sensor networks and considering that data transmission delay and hops are limited in actual system, a lifetime optimization algorithm limited by data transmission delay and hops (LOA_DH) for mobile sink-based wireless sensor networks is proposed. In LOA_DH, some constraints are analyzed, and an optimization model is proposed. Maximum capacity path routing algorithm is used to calculate the energy consumption of communication. Improved genetic algorithm which modifies individuals to meet all constraints is used to solve the optimization mode

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El Azhari, Maryam, Nadya El Moussaid, Ahmed Toumanari, and Rachid Latif. "Equalized Energy Consumption in Wireless Body Area Networks for a Prolonged Network Lifetime." Wireless Communications and Mobile Computing 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4157858.

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The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wire

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ERCETIN, O., O. GURBUZ, K. BULBUL, E. CIFTCIOGLU, and A. AKSU. "A Practical Routing and MAC Framework for Maximum Lifetime Sensor Telemetry." IEICE Transactions on Communications E90-B, no. 11 (2007): 3146–57. http://dx.doi.org/10.1093/ietcom/e90-b.11.3146.

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Aznaoui, Hanane, Arif Ullah, Said Raghay, Layla Aziz, and Mubashir Hayat Khan. "New efficient GAF routing protocol using an optimized weighted sum model in WSN." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 396. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp396-406.

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<span>A wireless sensor network (WSN) composed by a large number of sensor nodes that are insufficient in terms of processing power, storage and energy. The principal tasks of nodes is gathering and transmitting data collected to the base station (BS). Consequently the major essential criteria for designing a WSN are the network lifetime. In this paper an efficient GAF routing protocol for gathered data is introduced. It proposes an energy-efficient routing in WSN based on the basic version. In this system sensor nodes are distributed using Gaussian law and an active leader is elected fo

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Kumar, Dilip, Trilok C. Aseri, and R. B. Patel. "EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks." International Journal of Computers Communications & Control 6, no. 1 (2011): 113. http://dx.doi.org/10.15837/ijccc.2011.1.2206.

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In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a bette

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Shafique, Ayesha, Guo Cao, Muhammad Aslam, Muhammad Asad, and Dengpan Ye. "Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT)." Sensors 20, no. 12 (2020): 3521. http://dx.doi.org/10.3390/s20123521.

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The central intelligence offered by Software Defined Networking (SDN) promise the smart and reliable reconfiguration which enables the scalability of dynamic enterprise networks. The decoupled forwarding plane and control plane of SDN infrastructure is a key feature that supports the SDN controller to extract the physical network topology information at runtime to formulate network reconfigurations. This SDN-based network reconfiguration enables application-aware routing capability for Internet of Thing (IoT). However, these IoT enabled SDN-based routing protocols face some performance limitat

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Gatzianas, Marios, and Leonidas Georgiadis. "A Distributed Algorithm for Maximum Lifetime Routing in Sensor Networks with Mobile Sink." IEEE Transactions on Wireless Communications 7, no. 3 (2008): 984–94. http://dx.doi.org/10.1109/twc.2008.060727.

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Zhu, Xiaojun. "Revisiting non-tree routing for maximum lifetime data gathering in wireless sensor networks." Journal of Supercomputing 77, no. 8 (2021): 8927–45. http://dx.doi.org/10.1007/s11227-021-03621-x.

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Anita, X., M. A. Bhagyaveni, and J. Martin Leo Manickam. "Fuzzy-Based Trust Prediction Model for Routing in WSNs." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/480202.

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The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust p

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Zhong, Yuanchang, Lin Cheng, Liang Zhang, Yongduan Song, and Hamid Reza Karimi. "Energy-Efficient Routing Control Algorithm in Large-Scale WSN for Water Environment Monitoring with Application to Three Gorges Reservoir Area." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/802915.

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The typical application backgrounds of large-scale WSN (wireless sensor networks) for the water environment monitoring in the Three Gorges Reservoir are large coverage area and wide distribution. To maximally prolong lifetime of large-scale WSN, a new energy-saving routing algorithm has been proposed, using the method of maximum energy-welfare optimization clustering. Firstly, temporary clusters are formed based on two main parameters, the remaining energy of nodes and the distance between a node and the base station. Secondly, the algorithm adjusts cluster heads and optimizes the clustering a

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