Energy aware routing for low energy ad hoc sensor networks

By Rahul C. Shah, Jan M. Rabaey. 2002

1,730 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks (2015, background): “, [40,41], can be used to handle this problem, it is still sometimes difficult for each node to have a global unique ID,”
Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison (2012, background): “The EAR protocol (Shah and Rabaey, 2002) considers the utilization of sub-optimal paths occasionally so as to increase the lifetime of sensor network.”
A centralized energy-efficient routing protocol for wireless sensor networks (2005, background): “…associated with assigning and maintaining these types of addresses, the fixed addressing scheme might not be suitable for wireless sensor networks [8] In addition, since the end user of a wireless sensor network is more interested in attribute-based queries such as “Send me use an addressing…”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “Challenges lie in designing cost-efficient routing protocols [39,37], which can efficiently disseminate information in a wireless sensor network using resource-adaptive algorithms.”
Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks (2009, methodology): “However, in order to uniquely identify the SNs and perform communication in those environments, class-based addressing scheme [31], [32], [33] is used, in which a node is identified by a triplet <location, node type, node subtype>.”
Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines (2010, background): “The third contributor is energy-constrained networks, exemplified by wireless sensor networks [39], in which nodes that have drained their battery can no longer contribute to network connectivity [40,41].”
A survey on routing protocols for wireless sensor networks (2005, methodology): “Shah and Rabaey [29] proposed to use a set of sub-optimal paths occasionally to increase the lifetime of the network.”
An energy-aware QoS routing protocol for wireless sensor networks (2003, background): “research. It usually involves multi-hop communications and has been studied as part of the network layer problems [1,2,3, 4 ].”
On maximum lifetime routing in Wireless Sensor Networks (2009, background): “[6] and [7], focuses on finding routes that result in low cost or high residual battery energy.”
Power management in energy harvesting sensor networks (2007, background): “…Younis et al. 2002; Shah and Rabaey 2002; Li et al. 2001; Chang and Tassiulas 2000; Maleki et al. 2003; Rodoplu and Meng 1998; Gallager et al. 1979], data gathering [Kalpakis et al. 2003], topology management [Xu et al. 2001], and processor sharing [Shang et al. 2002; Rong and Pedram 2003].”
Survey on Sensor Networks (2002, background): “In [30], the proposed energy-aware routing protocol aims at improving network survivability, that is, maintaining network connectivity as long as possible, and the energy health of the entire network is of the same order.”
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance (2003, background): “Similarly, energy aware routing [20] avoids using the lowest-energy routing paths consistently, as this may lead to energy depletion of nodes in key locations; instead, it allows the use of suboptimal paths.”
On the lifetime of wireless sensor networks (2009, background): “…[Chang and Tassiulas 2000; Duarte-Melo and Liu 2002; Giridhar and Kumar 2005; Lee et al. 2004; Madan et al. 2005; Mhatre and Rosenberg 2004; Shah and Rabaey 2002; Wang et al. 2005]; (2) the time until the .rst cluster head is drained of its energy [Chiasserini et al. 2002; Soro and Heinzelman…”
Sensor Networks : An Overview (2002, methodology): “In this scheme, Rahul Shah et al.[22] proposed using sub-optimal paths occasionally to increase the lifetime of the network substantially.”
A Survey on Clustering Routing Protocols in Wireless Sensor Networks (2012, background): “…Protocols for Information via Negotiation (SPIN) [6], Directed Diffusion (DD) [7], Rumor [8], Greedy Perimeter Stateless Routing (GPSR) [9], Trajectory Based Forwarding (TBF) [10], Energy-Aware Routing (EAR) [11], Gradient-Based Routing (GBR) [12], Sequential Assignment Routing (SAR) [13], etc .”
Accurate prediction of power consumption in sensor networks (2005, background): “Most implementations [10, 1, 22, 14] count the number of packets sent and use this information as the only source to qualitatively estimate energy consumption.”