Power management for throughput enhancement in wireless ad-hoc networks

Abstract

Abstract-In this paper we introduce the notion of power management within the context of wireless ad-hoc networks. More specifically, we investigate the effects of using different transmit powers on the average power consumption and end-to-end network throughput in a wireless ad-hoc environment. This power management approach would help in reducing the system power consumption and hence prolonging the battery life of mobile nodes. Furthermore, it improves the end-to-end network throughput as compared to other ad-hoc networks in which all mobile nodes use the same transmit power. The improvement is due to the achievement of a tradeoff between minimizing interference ranges, reduction in the average number of hops to reach a destination, the probability of having isolated clusters, and the average number of transmissions (including retransmissions due to collisions). The protocols would first dynamically determine an optimal connectivity range wherein they adapt their transmit powers so as to only reach a subset of the nodes in the network. The connectivity range would then be dynamically changed in a distributed manner so as to achieve the near optimal throughput. Minimal power routing is used to further enhance performance. Simulation studies are carried out in order to investigate these design approaches. It is seen a network with such a power managed scheme would achieve a better throughput performance and lower transmit power than a network without such a scheme.

Design and implementation of a low cost experimental testbed for wireless sensor networks

“…The plot of average received signal level (RSSL) against distance is presented in Figure 8. Figure 9 shows the rate of battery depletion when normal LEACH protocol [14], where a head is selected based only on highest residual energy, was running; while Figure 10 shows the rate of battery depletion when CHAR algorithm [15], where a head is selected based on two parameter highest residual energy and cost of transmission to the base station, was running. In order to evaluate numerical value of the performance of the CHAR and LEACH routing protocols in terms of energy conservation, Figure 11 presents the mean values of battery voltage for all batteries against system life for the two routing protocols.…”

“…At this point the printed circuit and the paper gets stuck on the copper board, we now gently removed the paper sticking to the board leaving a toner print/trace of the circuit and the board was now etched. At this point, perforations were made and components attached to arrive at the ready to use printed circuit board as shown in In other to demonstrate that the hardware was working as expected, the WSN algorithms developed in [14] and [15] were compiled and downloaded into the chip for testing as shown in Figure 7.…”

Joint problem of power optimal connectivity and coverage in wireless sensor networks

“…In [15] a similar degree constraint is enforced to ensure a bound on the endto-end throughput. In [16] COMPOW protocol and its architecture are discussed.…”

Exploiting mobility in multihop infostation networks to decrease transmit power

“…Less transmit power means less interference to the rest of the network. This usually results in a higher signal to interference and noise ratio (SINR) at receiver nodes and therefore higher data rates [5], [6].…”