Routing and channel assignment for low power transmission in PCS

Scott, Keith; Bambos, Nicholas

doi:10.1109/icupc.1996.562623

Cited by 166 publications

(107 citation statements)

References 7 publications

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“…However, it also yields higher interference to other mobile hosts, which can destroy an existing transmission band and may cause the network to have blocked calls. This could result in a decrease in network capacity [7]. Therefore, lower power transmission does not always have a negative impact on throughput.…”

Section: Power-efficient Ad Hoc Mobile Network Efficient Utilizationmentioning

confidence: 99%

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Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

2001

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Most ad hoc mobile devices today operate on batteries. Hence, power consumption becomes an important issue. To maximize the lifetime of ad hoc mobile networks, the power consumption rate of each node must be evenly distributed, and the overall transmission power for each connection request must be minimized. These two objectives cannot be satisfied simultaneously by employing routing algorithms proposed in previous work. In this article we present a new power-aware routing protocol to satisfy these two constraints simultaneously; we also compare the performance of different types of power-related routing algorithms via simulation. Simulation results confirm the need to strike a balance in attaining service availability performance of the whole network vs. the lifetime of ad hoc mobile devices.

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Section: Power-efficient Ad Hoc Mobile Network Efficient Utilizationmentioning

confidence: 99%

“…In [7], Dijkstra's shortest path algorithm was modified to obtain the minimum total power route. However, since transmission power depends on distance 1 (proportional to d n ), this algorithm will select routes with more hops than other routing algorithms.…”

Section: Power-efficient Ad Hoc Routing Power-efficient Routing Protomentioning

confidence: 99%

Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

2001

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“…In early work in the networking literature, minimum-energy routing algorithms, which select the paths with the minimum total transmission power over all the nodes, are developed (see e.g., [1], [2]). As described in [3], if the links are assumed to be error-free and hence there is no need for retransmission, energy-efficient routing algorithms choose the minimum-hop paths in cases in which the transmitter power is fixed.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient modulation design for reliable communication in wireless networks

Chen

Gursoy

2009

2009 43rd Annual Conference on Information Sciences and Systems

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Abstract-In this paper, we have considered the optimization of the M -ary quadrature amplitude modulation (MQAM) constellation size to minimize the bit energy consumption under average bit error rate (BER) constraints. In the computation of the energy expenditure, the circuit, transmission, and retransmission energies are taken into account. A combined log-normal shadowing and Rayleigh fading model is employed to model the wireless channel. The link reliabilities and retransmission probabilities are determined through the outage probabilities under log-normal shadowing effects. Both single-hop and multihop transmissions are considered. Through numerical results, the optimal constellation sizes are identified. Several interesting observations with practical implications are made. It is seen that while large constellations are preferred at small transmission distances, constellation size should be decreased as the distance increases. Similar trends are observed in both fixed and variable transmit power scenarios. We have noted that variable power schemes can attain higher energy-efficiencies. The analysis of energy-efficient modulation design is also conducted in multihop linear networks. In this case, the modulation size and routing paths are jointly optimized, and the analysis of both the bit energy and delay experienced in the linear network is provided.

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“…Such a formulation often leads to the formation of a path with a large number of hops. In [11], the authors extend this basic approach by including energy expenditure for packet reception in the link cost.…”

Section: Related Workmentioning

confidence: 99%

Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths

Banerjee

Misra²

2004

Lecture Notes in Computer Science

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Abstract. We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typical energy efficient routing techniques use a transmission power such that the received signal power at the destination minimally exceeds a desired threshold signal strength level. In this paper we argue that such a choice of the transmission power does not always lead to optimal energy routes, since it does not consider differences in the receiver noise levels. We first analyze the optimal transmission power choices for both the ideal case from an information-theoretic perspective, and for realistic modulation schemes. Subsequently we define our technique for transmission power adaptation that can be used in existing routing protocols for multi-hop wireless networks. Our simulations show that current best-known schemes incur upto 10% more energy costs in low noise environments, and upto 6.67 times the energy costs in high noise environments compared to our proposed scheme.

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Routing and channel assignment for low power transmission in PCS

Cited by 166 publications

References 7 publications

Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

Energy-efficient modulation design for reliable communication in wireless networks

Power Adaptation Based Optimization for Energy Efficient Reliable Wireless Paths

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