Results 1 - 10
of
52
Geographic routing without planarization
, 2006
"... We present a new geographic routing algorithm, Greedy Distributed Spanning Tree Routing (GDSTR), that finds ..."
Abstract
-
Cited by 83 (4 self)
- Add to MetaCart
We present a new geographic routing algorithm, Greedy Distributed Spanning Tree Routing (GDSTR), that finds
Coverage and connectivity in three-dimensional networks
- PROCEEDINGS OF THE 12TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING
, 2006
"... Although most wireless terrestrial networks are based on two-dimensional (2D) design, in reality, such networks operate in three-dimensions (3D). Since most often the size (i.e., the length and the width) of such terrestrial networks is significantly larger than the differences in the third dimensio ..."
Abstract
-
Cited by 46 (0 self)
- Add to MetaCart
Although most wireless terrestrial networks are based on two-dimensional (2D) design, in reality, such networks operate in three-dimensions (3D). Since most often the size (i.e., the length and the width) of such terrestrial networks is significantly larger than the differences in the third dimension (i.e., the height) of the nodes, the 2D assumption is somewhat justified and usually it does not lead to major inaccuracies. However, in some environments, this is not the case; the underwater, atmospheric, or space communications being such apparent examples. In fact, recent interest in underwater acoustic ad hoc and sensor networks hints at the need to understand how to design networks in 3D. Unfortunately, the design of 3D networks is surprisingly more difficult than the design of 2D networks. For example, proofs of Kelvin's conjecture and Kepler's conjecture required centuries of research to achieve breakthroughs, whereas their
Routing Protocols in Wireless Sensor Networks-A Survey,
- International Journal of Computer Science & Engineering Survey(IJCESE),
, 2010
"... Abstract Advances in wireless sensor network (WSN) ..."
Abstract
-
Cited by 40 (3 self)
- Add to MetaCart
(Show Context)
Abstract Advances in wireless sensor network (WSN)
Robust and timely communication over highly dynamic sensor networks
- Real-Time Systems Journal, Special Issue on Real-Time Wireless Sensor Networks, 2007
"... Highly dynamic sensor networks, such as mobile robotic sensor networks, have been applied in various kinds of application scenarios such as real-time planet exploration and deep-ocean discovery. In these types of networks, mobility and energy management protocols change the connectivity among the ne ..."
Abstract
-
Cited by 27 (0 self)
- Add to MetaCart
(Show Context)
Highly dynamic sensor networks, such as mobile robotic sensor networks, have been applied in various kinds of application scenarios such as real-time planet exploration and deep-ocean discovery. In these types of networks, mobility and energy management protocols change the connectivity among the neighboring nodes quickly. Traditional state-based protocols, designed for static and/or low-mobility networks, suffer excessive delay in updating their routing or neighborhood tables, leading to severe packet loss and communication delay in the highly dynamic situations. To provide robust and timely communication, we exploit the concept of Lazy-Binding to deal with the elevated network dynamics. Based on this concept and the knowledge of the node positions, we introduce Implicit Geographic Forwarding (IGF), a new protocol for highly dynamic sensor networks that is altogether state-free. We compare our work against several typical routing protocols in static, mobile and energy-conserving networks under a wide range of system and workload configurations. In the presence of mobility and other dynamics, IGF achieves as much as 10 times improvement in the delivery ratio and significant reduction in both the end-to-end delay and control overhead. In addition to extensive simulations, we also implement and evaluate the IGF protocol on the Berkeley mote platform. I.
Greedy virtual coordinates for geographic routing
- In Proceedings of ICNP’07
, 2007
"... Abstract — We present a new approach for generating virtual coordinates that produces usable coordinates quickly and improves the routing performance of existing geographic routing algorithms. Starting from a set of initial coordinates derived from a set of elected perimeter nodes, Greedy Embedding ..."
Abstract
-
Cited by 24 (1 self)
- Add to MetaCart
(Show Context)
Abstract — We present a new approach for generating virtual coordinates that produces usable coordinates quickly and improves the routing performance of existing geographic routing algorithms. Starting from a set of initial coordinates derived from a set of elected perimeter nodes, Greedy Embedding Spring Coordinates (GSpring) detects possible dead ends and uses a modified spring relaxation algorithm to incrementally adjust virtual coordinates to increase the convexity of voids in the virtual routing topology. This reduces the probability that packets will end up in dead ends during greedy forwarding. The coordinates derived by GSpring achieve routing stretch that is up to 50% lower than that for NoGeo, the best existing algorithm for deriving virtual Euclidean coordinates for geographic routing. For realistic network topologies with obstacles, GSpring coordinates achieves from between 10 to 15 % better routing stretch than actual physical coordinates.
Deployment of mobile robots with energy and timing constraints
- IEEE Transactions on Robotics
, 2006
"... Abstract—Mobile robots can be used in many applications, such as carpet cleaning, search and rescue, and exploration. Many studies have been devoted to the control, sensing, and communication of robots. However, the deployment of robots has not been fully addressed. The deployment problem is to dete ..."
Abstract
-
Cited by 20 (0 self)
- Add to MetaCart
(Show Context)
Abstract—Mobile robots can be used in many applications, such as carpet cleaning, search and rescue, and exploration. Many studies have been devoted to the control, sensing, and communication of robots. However, the deployment of robots has not been fully addressed. The deployment problem is to determine the number of groups unloaded by a carrier, the number of robots in each group, and the initial locations of those robots. This paper investigates robot deployment for coverage tasks. Both timing and energy constraints are considered; the robots carry limited energy and need to finish the tasks before deadlines. We build power models for mobile robots and calculate the robots ’ power consumption at different speeds. A speed-management method is proposed to decide the traveling speeds to maximize the traveling distance under both energy and timing constraints. Our method uses rectangle scanlines as the coverage routes, and solves the deployment problem using fewer robots. Finally, we provide an approach to consider areas with random obstacles. Compared with two simple heuristics, our solution uses 36 % fewer robots for open areas and 32 % fewer robots for areas with obstacles. Index Terms—Coverage, deployment, energy constraints, mobile robots, timing constraints. I.
JiTS: Just-in-Time Scheduling for Real-Time Sensor Data Dissemination
, 2006
"... Most existing real-time protocols for sensor data dissemination use packet scheduling schemes to prioritize packets according to their deadlines. However, packet prioritization by itself cannot completely support real-time data dissemination requirements. In this paper, we propose new Just-in-Time S ..."
Abstract
-
Cited by 18 (3 self)
- Add to MetaCart
Most existing real-time protocols for sensor data dissemination use packet scheduling schemes to prioritize packets according to their deadlines. However, packet prioritization by itself cannot completely support real-time data dissemination requirements. In this paper, we propose new Just-in-Time Scheduling (JiTS) algorithms that take advantage of the available slack, if any, to reduce contentions and improve real-time performance by judiciously delaying packets as long as their deadlines are not missed. Specifically, we explore several policies for allocating the slack among multiple hops, including a non-linear policy where packets are non-uniformly delayed at intermediate nodes to account for expected higher contentions as packets get closer to the sink(s). Notably, our JiTS policies require neither lower layer support nor synchronization among sensor nodes making for an easy deployment. In our simulation study, JiTS significantly improves the deadline miss ratio and packet drop ratio compared to existing approaches in various situations. It is also shown that the Geographic Forwarding often used for real-time data dissemination substantially underperforms the Shortest Path routing especially when the load is high.
Geographic Routing in d-dimensional Spaces with Guaranteed Delivery and Low Stretch ∗
, 2010
"... Almost all geographic routing protocols have been designed for 2D. We present a novel geographic routing protocol, MDT, for 2D, 3D, and higher dimensions with these properties: (i) guaranteed delivery for any connected graph of nodes and physical links, and (ii) low routing stretch from efficient fo ..."
Abstract
-
Cited by 16 (8 self)
- Add to MetaCart
(Show Context)
Almost all geographic routing protocols have been designed for 2D. We present a novel geographic routing protocol, MDT, for 2D, 3D, and higher dimensions with these properties: (i) guaranteed delivery for any connected graph of nodes and physical links, and (ii) low routing stretch from efficient forwarding of packets at local minima. MDT is the first geographic routing protocol that provides guaranteed delivery in 3D as well as 2D. (This property holds for node locations specified by accurate, inaccurate, or arbitrary coordinates.) The MDT protocol suite includes a packet forwarding protocol together with protocols for nodes to construct and maintain a distributed MDT graph for routing. We present performance comparisons of MDT and several geographic (and one non-geographic) routing protocols for nodes in 3D and 2D. Experimental results show that MDT provides the lowest routing stretch. MDT includes protocols for nodes to handle churn, i.e., dynamic topology changes due to addition and deletion of nodes and links. Experimental results show that the routing success rate of MDT is close to 100 % during churn and node states converge to a correct MDT graph after churn. 1.
Non-euclidean geographic routing in wireless networks
- Ad Hoc Netw
"... Greedy geographic routing is attractive for large multi-hop wireless networks because of its simple and distributed operation. However, it may easily result in dead ends or hotspots when routing in a network with obstacles (regions without sufficient connectivity to forward messages). In this paper ..."
Abstract
-
Cited by 10 (1 self)
- Add to MetaCart
(Show Context)
Greedy geographic routing is attractive for large multi-hop wireless networks because of its simple and distributed operation. However, it may easily result in dead ends or hotspots when routing in a network with obstacles (regions without sufficient connectivity to forward messages). In this paper we propose a distributed routing algorithm that combines greedy geographic routing with two non-Euclidean distance metrics, chosen so as to provide load balanced routing around obstacles and hotspots. The first metric, Local Shortest Path, is used to achieve high probability of progress, while the second metric, Weighted Distance Gain, is used to select a desirable node among those that provide progress. The proposed Load Balanced Local Shortest Path (LBLSP) routing algorithm provides loop freedom, guarantees delivery when a path exists, is able to efficiently route around obstacles, and provides good load balancing.
New Techniques for Geographic Routing
, 2006
"... As wireless sensor networks continue to grow in size, we are faced with the prospect of emerging wireless networks with hundreds or thousands of nodes. Geographic routing algorithms are a promising alternative to tradition ad hoc routing algorithms in this new domain for point-to-point routing, but ..."
Abstract
-
Cited by 8 (2 self)
- Add to MetaCart
As wireless sensor networks continue to grow in size, we are faced with the prospect of emerging wireless networks with hundreds or thousands of nodes. Geographic routing algorithms are a promising alternative to tradition ad hoc routing algorithms in this new domain for point-to-point routing, but deployments of such algorithms are currently uncommon because of some practical difficulties. This