A layer-based routing protocol for heterogeneous wireless sensor networks

Xiao, Chunxia; Dai, Zanxun; Li, Wenzhong; Shi, Hongchi

doi:10.1109/icc.2012.6363670

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…This forwarded single message contains the reading got from various nodes which is then aggregated value [1]. The routing part includes the sender broadcasting H times to guarantee an assured delivery rate, each receiver calculating its probability to forward the message to reduce the number of replicated messages, and the updating of packet loss rates of links [10]. The data generated by nodes in the wireless network is too much for the enduser to process so they require methods to combine them into a small set of meaningful information.…”

Section: Literature Surveymentioning

confidence: 99%

CDLN - Cluster Distance Based Data Forwarding and Optimal Leader Election Using Fuzzy Inference in Wireless Network

Joshi¹,

Biradar²

2021

INDJCSE

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Wireless networks in general can consume a lot of energy and incur losses if they do not have the right protocols to properly add packets to the destination. Similarly, if the connectivity of the network nodes is different, its resource losses will be higher. Thus, the network will quickly disconnect and cause very high losses. As well as wireless nodes, this sends various data, so energy losses are high. This proposed method -CDLN -cluster distance-based data forwarding and optimal leader election using fuzzy inference in wireless network -is designed to take care of all these and formulate routing accordingly. In this method, the cluster set is formed and the main leader and assistant leaders are selected. Thus, when the main leader is disconnected, the assistant cluster acts to prevent network loss. Because the transmission ranges in this network are different sizes, the cluster set will have different members. These cluster sets are formed in a fuzzy inference mode and set up with precise leaders and routing, thus reducing energy costs, network life time and the number of dead nodes. It can also be seen in the output that the network lasts longer.

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Section: Literature Surveymentioning

confidence: 99%

CDLN - Cluster Distance Based Data Forwarding and Optimal Leader Election Using Fuzzy Inference in Wireless Network

Joshi¹,

Biradar²

2021

INDJCSE

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“…Parameter can be set to the minimum value that satisfies Formula (5). Now that H and are calculated according to requirements, there is a high chance that the routing can achieve the desired delivery rate and reduce the number of replicated messages in the network.…”

Section: Emerging Topics In Computingmentioning

confidence: 99%

“…To further reduce energy consumption, we upgrade LayHet to EgyHet, where we consider the remaining energy of nodes when selecting forwarders. This paper is an extension of our two protocols LayHet and EgyHet published in conference proceedings [5], [6]. In this version, we make a substantial change in the network scope and related works, provide more detailed analysis and add more simulation results.…”

Section: Introductionmentioning

confidence: 99%

Performance Guaranteed Routing Protocols for Asymmetric Sensor Networks

Xiao

Dai

et al. 2013

IEEE Trans. Emerg. Topics Comput.

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In this paper, we propose performance guaranteed routing protocols in asymmetric sensor networks (ASNs) where two end nodes may not use the same path to communicate with each other. ASNs can be caused by hardware devices or environment. Different from most of the existing routing protocols in symmetric sensor networks, because of asymmetry, achieving desired routing performance in ASNs poses significant research challenges. To address these challenges, we first propose a general framework protocol called reverse path (RP) to deal with asymmetric links and then present two efficient routing algorithms LayHet and EgyHet built on RP to satisfy performance requirements. LayHet is a performance guaranteed layer-based routing protocol that embeds the shortest path information and saves energy by minimizing the number of broadcasts and the probability of forwarding. EgyHet is its energy-upgraded version that considers nodes' remaining energy. Simulation results comparing the proposed and existing protocols show that LayHet and EgyHet can reach the desired delivery rate earlier than the existing one and outperform it in terms of average hops, average packet replication overhead, and average control message overhead. In addition, as sensor energy reduces, the performance of LayHet and EgyHet eventually degrades more slowly than that of the existing one.

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