Homogeneous vs heterogeneous clustered sensor networks: a comparative study

Mhatre, Vivek; Rosenberg, Catherine

doi:10.1109/icc.2004.1313223

Cited by 308 publications

(161 citation statements)

References 7 publications

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“…Starting with equal energy levels, each node picks a probability value to decide whether to act as a CH, based on the number of times it has recently claimed the CH role. An improved version of LEACH, called M-LEACH, is proposed in [11], in which nodes in a cluster deliver data to the CH over multihop paths and can thus achieve energy savings. Similarly, k-hop forwarding from cluster members towards the CH is included in [9] with simpler sensors that have a fixed radius rather than an adjustable one.…”

Section: Related Workmentioning

confidence: 99%

Asynchronous clustering of multihop Wireless Sensor Networks

Vural

Navaratnam

Wang

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-Node clustering has been widely studied in recent years for Wireless Sensor Networks (WSN) as a technique to form a hierarchical structure and prolong network lifetime by reducing the number of packet transmissions. Cluster Heads (CH) are elected in a distributed way among sensors, but are often highly overloaded, and therefore re-clustering operations should be performed to share the resource intensive CH-role. Existing protocols involve periodic network-wide re-clustering operations that are simultaneously performed, which requires global time synchronisation. To address this issue, some recent studies have proposed asynchronous node clustering for networks with direct links from CHs to the data sink. However, for large-scale WSNs, multihop packet delivery to the sink is required since longrange transmissions are costly for sensor nodes. In this paper, we present an asynchronous node clustering protocol designed for multihop WSNs, considering dynamic conditions such as residual node energy levels and unbalanced data traffic loads caused by packet forwarding. Simulation results demonstrate that it is possible to achieve similar levels of lifetime extension by reclustering a multihop WSN via independently made decisions at CHs, without a need for time synchronisation required by existing synchronous protocols.

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Section: Related Workmentioning

confidence: 99%

Asynchronous clustering of multihop Wireless Sensor Networks

Vural

Navaratnam

Wang

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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“…Whereh is the probability that the cluster-head is close enough to the sink to directly transmit packets. This probability can be calculated by using the nodes distribution in the rings given in [17].h…”

Section: Optimal Clusteringmentioning

confidence: 99%

“…Cluster-heads do not extend their transmission range to transmit packets directly to the sink node and, therefore, has the same radius r as member nodes. We adapt the multi-hop model proposed by [17] to route packets from cluster-head to the sink. In the model, a circle is divided into concentric rings with the thickness r. The energy spent to relay the packet from outside ring towards inside ring is l(2E elec + amp r 2 ).…”

Section: Optimal Clusteringmentioning

confidence: 99%

Real-Time Coordination and Routing in Wireless Sensor and Actor Networks

Shah

Bozyiğit

Akan

et al. 2006

Next Generation Teletraffic and Wired/Wireless Advanced Networking

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Abstract. In Wireless Sensor Actor Networks (WSAN), sensor nodes perform the sensing task and actor nodes take action based on the sensed phenomena in the field. To ensure efficient and accurate operations of WSAN, new communication protocols are imperative to provide sensoractor coordination in order to achieve energy-efficient and reliable communication. Moreover, the protocols must honor the application-specific real-time delay bounds for the effectiveness of the actors in WSAN.In this paper, we propose a new real-time coordination and routing (RCR) framework for WSAN. It addresses the issues of coordination among sensors and actors and honors the delay bound for routing in distributed manner. RCR configures sensors to form hierarchical clusters and provides delay-constrained energy aware routing (DEAR) mechanism. It uses only cluster-heads to coordinate with sink/actors in order to save the precious energy resources. The DEAR algorithm integrates the forwardtracking and backtracking routing approaches to establish paths from source nodes to sink/actors. In the presence of the sink in WSAN, it implements the centralized version of DEAR (C-DEAR) to coordinate with the actors through the sink. In the absence of sink or ignoring its presence, there is a distributed DEAR (D-DEAR) to provide coordination among sensors and actors. Cluster-heads then select the path among multiple alternative paths to deliver the packets to the actors within the given delay bound in an efficient way. Simulation experiments prove that RCR achieves the goal to honor the realistic application-specific delay bound.

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“…LEACH protocol is the first to propose clustering routing protocol of wireless sensor networks [1][2][3]. LEACH algorithm can guarantee the probability of each node as a cluster head node in the network, making nodes relatively balanced energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Multi-hop routing protocol design based of cluster density

Liu¹,

Pan²

2017

Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 20

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In wireless sensor network protocol, a multi hop routing protocol based on density clustering is proposed to deal with the problem of large communication overhead, unbalanced node consumption and hierarchical routing. Protocol divide clusters by density based method, and transfer the data with the base station using a multi hop approach. It can effectively balance the energy consumption of the nodes, and also effectively manage and improve the inter cluster routing. Through simulation experiments, the results show that the improved clustering multi hop routing protocol can balance the cluster head energy, improve the accuracy of data transfer, and effectively extend the life cycle of the network.

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Homogeneous vs heterogeneous clustered sensor networks: a comparative study

Cited by 308 publications

References 7 publications

Asynchronous clustering of multihop Wireless Sensor Networks

Asynchronous clustering of multihop Wireless Sensor Networks

Real-Time Coordination and Routing in Wireless Sensor and Actor Networks

Multi-hop routing protocol design based of cluster density

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