Redundancy-Aware Topology Management in Wireless Sensor Networks (original) (raw)
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RTCP: a redundancy aware topology control protocol for wireless sensor networks
International Journal of Information and Communication Technology, 2018
Topology control-based sleep-scheduling aims at exploiting node redundancy to save energy and extend the network lifetime, by putting as many nodes as possible in sleep mode, while maintaining a connected network. In this paper, we propose a redundancy aware topology control protocol (RTCP) for a wireless sensor network which exploits the sensor redundancy in the same region. This is achieved by dividing the network into groups so that a connected backbone can be maintained by keeping a necessary set of working nodes and turning off the redundant ones. RTCP allows applications to parameterise the desired connectivity degree. It identifies node redundancy, in terms of communication; it groups redundant nodes together according to their redundancy degrees and threshold of connectivity level. Finally, it schedules nodes in groups for active or sleep mode. The simulation results illustrate that RTCP outperforms some other existing algorithms, in terms of energy conservation, network lifetime and connectivity guarantee.
RTCP: Redundancy aware Topology Control Protocol for wireless sensor network
2014 1st International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2014
Topology control-based sleep-scheduling aims at exploiting node redundancy to save energy and extend the network lifetime, by putting as many nodes as possible in sleep mode, while maintaining a connected network. In this paper, we propose a redundancy aware topology control protocol (RTCP) for a wireless sensor network which exploits the sensor redundancy in the same region. This is achieved by dividing the network into groups so that a connected backbone can be maintained by keeping a necessary set of working nodes and turning off the redundant ones. RTCP allows applications to parameterise the desired connectivity degree. It identifies node redundancy, in terms of communication; it groups redundant nodes together according to their redundancy degrees and threshold of connectivity level. Finally, it schedules nodes in groups for active or sleep mode. The simulation results illustrate that RTCP outperforms some other existing algorithms, in terms of energy conservation, network lifetime and connectivity guarantee.
Topology Controlled Energy Proficient Protocol for Wireless Sensor Networks
Random deployment in Wireless sensor networks lead to spatial node redundancy in close knit sensor networks. In this paper, an improved energy proficient PEGASIS based protocol (PEGASIS-TC) has been proposed. PEGASIS-TC exploits this spatial node redundancy by finding optimal subset of nodes that guarantee connectivity and turns off the remaining nodes based on CTR (Critical transmission range) to conserve energy which can be used in later stages to extend the network lifetime. The simulation results obtained show that PEGASIS-TC gives an increase in network lifetime as compared to PEGASIS.
Exploiting redundancy for energy-efficiency in Wireless Sensor Networks
2016 9th IFIP Wireless and Mobile Networking Conference (WMNC), 2016
Wireless Sensor Networks (WSNs) are used today in many applications that differ in their objectives and specific constraints. The common challenge in designing WSN applications comes from the specific constraints of sensors because of their limited physical resources such as weak computational capability, small memory capacity, and especially limited battery. In this paper, we consider sensor redundancy in WSN and we conduct an experimental study to better highlight the importance of its exploitation. We also implement OER 'Optimization of Energy based on Redundancy', a protocol that exploits redundancy in order to save energy. Moreover, we extend OER by a fault tolerance mechanism. Through extensive simulations, we show how OER combined with FTMOer outperforms traditional routing protocols that do not exploit redundancy.
Improving Energy Efficiency of Wireless Sensor Networks through Topology Optimization
International journal emerging technology and advanced engineering, 2022
Relevance of the field of wireless sensor networks (WSNs) is increasing, and one of the most pressing challenges is in energy usage. This makes it a resource restraint type network for wireless sensor nodes that contain small unchangeable battery. Sensor network design has been influenced by and depends on the application by factors such as scalability, power consumption, environment etc. Most of the energy is used for communications among the three energy-saving activities: sensing, processing and communication. In this paper, an energy efficient (energy conserving) routing protocol called Wireless Sensor Network Energy Reduction Routing Coordinate Algorithm (WSNER-RCA) is proposed. This provides a more efficient energy consumption pattern in WSN, by using eight straight line routing coordinate to sink. It transmits data within nodes transmission range (single-hop) and multi-hopping along routes (coordinates) thereby saving energy and optimizing delivery. The energy-model is simulated using NS-2 and the residual energy computed with the aid of AWK programming language coding. This model out-performed its counterpart (EEEWSNMIA) by 6%, as seen in recent research work published by Elsevier based on the criteria of conserving the highest energy of the sensor network with a hundred and twenty nodes while upholding optimally the QoS factors.
A topology management framework for wireless sensor networks via power control
2008
Abstract The communication topology plays a key rule in the overall network performance. Topology management via power control has been addressed by many researchers to attain better utilization of available resources by reducing the complexity of the network topology. Energy conservation in these protocols is mainly achieved by utilizing lower transmission power levels. Like other types of wireless ad hoc networks, this feature makes their applicability in sensor networks equally attractive.
Employing Orphan Nodes to Avoid Energy Holes in Wireless Sensor Networks
Communications and Network, 2013
When energy consumption by wireless sensor nodes gets off balance, partitions in the network appear because several of the nodes stop functioning. The respective network's lifetime also diminishes. This problem is commonly known as the "hot spot" or "energy hole" phenomenon. To resolve this issue, a Multi-Hop Decentralized Cluster-Based Routing (MDCR) protocol is proposed. This algorithm uses orphan nodes as intermediate nodes to form inter-cluster multi-hop routing and balance the energy consumption among sensor nodes. Simulation experiments have shown that MDCR is significantly better at prolonging network lifetime compared to the Adaptive Decentralized Re-Clustering Protocol.
C3: an energy-efficient protocol for coverage, connectivity and communication in WSNs
Personal and Ubiquitous Computing, 2013
The lower layer of ubiquitous and pervasive systems consists of wireless ad hoc and sensor networks. In wireless sensor networks (WSNs), sensors consume most of their energy in data transmission and idle listening. Hence, efficient usage of energy can be ensured by improved protocols for topology control (i.e., coverage and connectivity), sleep scheduling, communication, and aggregation and compression of data. Though several protocols have been proposed for this purpose, they are not energy-efficient. We propose an integrated and energyefficient protocol for Coverage, Connectivity, and Communication (C3) in WSNs. The C3 protocol uses received signal strength indicator to divide the network into virtual rings, defines clusters with clusterheads more probably at alternating rings, defines dings that are rings inside a cluster and uses triangular tessellation to identify redundant nodes, and communicates data to sink through clusterheads and gateways. The proposed protocol strives for nearoptimal deployment, load balancing, and energy-efficient communication. Simulation results show that the C3 protocol ensures partial coverage of more than 90 % of the total deployment area, ensures one connected network, and facilitates energy-efficient communication while expending only one-fourth of the energy compared to other related protocols such as the coverage and connectivity protocol, and the layered diffusion-based coverage control. Keywords Connectivity Á Partial coverage Á Routing Á Rings Á Dings Á Triangular tessellation Á Optimal deployment Á Load balancing Á Energy efficiency Á Clustering Á Data gathering Á Topology control Á Sleep scheduling Á Ubiquitous computing M. Akhlaq (&)
Wireless Personal Communications, 2015
In wireless sensor networks, one of the main design challenges is to save energy of sensors and obtain long system lifetime without sacrificing the quality of network coverage and connectivity. Topology control is the primary technique of energy saving which consists to keep a minimum number of sensor nodes to operate in active mode with the purpose of conserving energy as well as ensuring network connectivity and/ or coverage. In this paper, we propose a Group-based Energy-Conserving Protocol (GECP) for wireless sensor networks that extends the network lifetime by sleep scheduling among sensor nodes with the purpose to ensure the network connectivity. It exploits the sensor redundancy in the same region by dividing the network into groups so that a connected backbone can be maintained by keeping only one active node in each group and turning off the redundant ones. The scheduling strategy, used by GECP, minimizes the number of transitions between sleep and active states in order to minimize the transition energy and the leader election frequency. The simulation results confirm the efficiency of GECP in terms of energy conservation, connectivity guarantee and network lifetime.
Power Efficient Topologies for Wireless Sensor Networks
icpp, 2001
Wireless sensor networks have become possible because of the ongoing improvements in sensor technology and VLSI. One issue in smart sensor networks is achieving efficient operation because of the limited available power. For important classes of sensor networks, such as biomedical sensors, the locations of the sensing nodes are fixed and the placement can be predetermined. In this paper, we consider the topology that best supports communication among these sensor nodes. We propose a power-aware routing protocol and simulate the performance, showing that our routing protocol adapts routes to the available power. This leads to a reduction in the total power used as well as more even power usage across nodes. We consider different routes and topologies, demonstrating the difference in performance and explaining the underlying causes.